Spaces:
Sleeping
Sleeping
| import pandas as pd | |
| sca_names = "W,S,VP,C,T,DC,CT,CP,CN,MLS,MLT,MLC,C-S,VP-T,C-T,DC-C,DC-T,T-S,\ | |
| CT-T,CP-T,CP-C,CN-T,CN-C".split(',') | |
| lca_names = "wordtypes,swordtypes,lextypes,slextypes,wordtokens,swordtokens,\ | |
| lextokens,slextokens,ld,ls1,ls2,vs1,vs2,cvs1,ndw,ndwz,ndwerz,ndwesz,ttr,\ | |
| msttr,cttr,rttr,logttr,uber,lv,vv1,svv1,cvv1,vv2,nv,adjv,advv,modv".split(',') | |
| lftk_names = [ | |
| 't_word', 't_stopword', 't_punct', 't_syll', 't_syll2', 't_syll3', 't_uword', 't_sent', 't_char', 'a_word_ps', 'a_char_ps', | |
| 'a_char_pw', 'a_syll_ps', 'a_syll_pw', 'a_stopword_ps', 'a_stopword_pw', 't_kup', 't_bry', 't_subtlex_us_zipf', 'a_kup_pw', | |
| 'a_bry_pw', 'a_kup_ps', 'a_bry_ps', 'a_subtlex_us_zipf_pw', 'a_subtlex_us_zipf_ps', 't_n_ent', 't_n_ent_person', 't_n_ent_norp', | |
| 't_n_ent_fac', 't_n_ent_org', 't_n_ent_gpe', 't_n_ent_loc', 't_n_ent_product', 't_n_ent_event', 't_n_ent_art', 't_n_ent_law', | |
| 't_n_ent_language', 't_n_ent_date', 't_n_ent_time', 't_n_ent_percent', 't_n_ent_money', 't_n_ent_quantity', 't_n_ent_ordinal', | |
| 't_n_ent_cardinal', 'a_n_ent_pw', 'a_n_ent_person_pw', 'a_n_ent_norp_pw', 'a_n_ent_fac_pw', 'a_n_ent_org_pw', 'a_n_ent_gpe_pw', | |
| 'a_n_ent_loc_pw', 'a_n_ent_product_pw', 'a_n_ent_event_pw', 'a_n_ent_art_pw', 'a_n_ent_law_pw', 'a_n_ent_language_pw', | |
| 'a_n_ent_date_pw', 'a_n_ent_time_pw', 'a_n_ent_percent_pw', 'a_n_ent_money_pw', 'a_n_ent_quantity_pw', 'a_n_ent_ordinal_pw', | |
| 'a_n_ent_cardinal_pw', 'a_n_ent_ps', 'a_n_ent_person_ps', 'a_n_ent_norp_ps', 'a_n_ent_fac_ps', 'a_n_ent_org_ps', 'a_n_ent_gpe_ps', | |
| 'a_n_ent_loc_ps', 'a_n_ent_product_ps', 'a_n_ent_event_ps', 'a_n_ent_art_ps', 'a_n_ent_law_ps', 'a_n_ent_language_ps', | |
| 'a_n_ent_date_ps', 'a_n_ent_time_ps', 'a_n_ent_percent_ps', 'a_n_ent_money_ps', 'a_n_ent_quantity_ps', 'a_n_ent_ordinal_ps', | |
| 'a_n_ent_cardinal_ps', 'simp_adj_var', 'simp_adp_var', 'simp_adv_var', 'simp_aux_var', 'simp_cconj_var', 'simp_det_var', | |
| 'simp_intj_var', 'simp_noun_var', 'simp_num_var', 'simp_part_var', 'simp_pron_var', 'simp_propn_var', 'simp_punct_var', | |
| 'simp_sconj_var', 'simp_sym_var', 'simp_verb_var', 'simp_space_var', 'root_adj_var', 'root_adp_var', 'root_adv_var', 'root_aux_var', | |
| 'root_cconj_var', 'root_det_var', 'root_intj_var', 'root_noun_var', 'root_num_var', 'root_part_var', 'root_pron_var', 'root_propn_var', | |
| 'root_punct_var', 'root_sconj_var', 'root_sym_var', 'root_verb_var', 'root_space_var', 'corr_adj_var', 'corr_adp_var', 'corr_adv_var', | |
| 'corr_aux_var', 'corr_cconj_var', 'corr_det_var', 'corr_intj_var', 'corr_noun_var', 'corr_num_var', 'corr_part_var', 'corr_pron_var', | |
| 'corr_propn_var', 'corr_punct_var', 'corr_sconj_var', 'corr_sym_var', 'corr_verb_var', 'corr_space_var', 'simp_ttr', 'root_ttr', | |
| 'corr_ttr', 'bilog_ttr', 'uber_ttr', 'simp_ttr_no_lem', 'root_ttr_no_lem', 'corr_ttr_no_lem', 'bilog_ttr_no_lem', 'uber_ttr_no_lem', | |
| 'n_adj', 'n_adp', 'n_adv', 'n_aux', 'n_cconj', 'n_det', 'n_intj', 'n_noun', 'n_num', 'n_part', 'n_pron', 'n_propn', 'n_punct', | |
| 'n_sconj', 'n_sym', 'n_verb', 'n_space', 'n_uadj', 'n_uadp', 'n_uadv', 'n_uaux', 'n_ucconj', 'n_udet', 'n_uintj', 'n_unoun', | |
| 'n_unum', 'n_upart', 'n_upron', 'n_upropn', 'n_upunct', 'n_usconj', 'n_usym', 'n_uverb', 'n_uspace', 'a_adj_pw', 'a_adp_pw', | |
| 'a_adv_pw', 'a_aux_pw', 'a_cconj_pw', 'a_det_pw', 'a_intj_pw', 'a_noun_pw', 'a_num_pw', 'a_part_pw', 'a_pron_pw', 'a_propn_pw', | |
| 'a_punct_pw', 'a_sconj_pw', 'a_sym_pw', 'a_verb_pw', 'a_space_pw', 'a_adj_ps', 'a_adp_ps', 'a_adv_ps', 'a_aux_ps', 'a_cconj_ps', | |
| 'a_det_ps', 'a_intj_ps', 'a_noun_ps', 'a_num_ps', 'a_part_ps', 'a_pron_ps', 'a_propn_ps', 'a_punct_ps', 'a_sconj_ps', 'a_sym_ps', | |
| 'a_verb_ps', 'a_space_ps', 'fkre', 'fkgl', 'fogi', 'smog', 'cole', 'auto', 'rt_fast', 'rt_average', 'rt_slow'] | |
| lftk_full_names = ['Total Number Of Words', 'Total Number Of Stop Words', | |
| 'Total Number Of Puntuations', 'Total Number Of Syllables', | |
| 'Total Number Of Words More Than Two Syllables', 'Total Number Of Words More Than Three Syllables', | |
| 'Total Number Of Unique Words', 'Total Number Of Sentences', | |
| 'Total Number Of Characters', 'Average Number Of Words Per Sentence', | |
| 'Average Number Of Characters Per Sentence', 'Average Number Of Characters Per Word', | |
| 'Average Number Of Syllables Per Sentence', 'Average Number Of Syllables Per Word', | |
| 'Average Number Of Stop Words Per Sentence', 'Average Number Of Stop Words Per Word', | |
| 'Total Kuperman Age Of Acquistion Of Words', 'Total Brysbaert Age Of Acquistion Of Words', | |
| 'Total Subtlex Us Zipf Of Words', 'Average Kuperman Age Of Acquistion Of Words Per Word', | |
| 'Average Brysbaert Age Of Acquistion Of Words Per Word', 'Average Kuperman Age Of Acquistion Of Words Per Sentence', | |
| 'Average Brysbaert Age Of Acquistion Of Words Per Sentence', 'Average Subtlex Us Zipf Of Words Per Word', | |
| 'Average Subtlex Us Zipf Of Words Per Sentence', 'Total Number Of Named Entities', | |
| 'Total Number Of Named Entities Person', 'Total Number Of Named Entities Norp', | |
| 'Total Number Of Named Entities Fac', 'Total Number Of Named Entities Org', | |
| 'Total Number Of Named Entities Gpe', 'Total Number Of Named Entities Loc', | |
| 'Total Number Of Named Entities Product', 'Total Number Of Named Entities Event', | |
| 'Total Number Of Named Entities Art', 'Total Number Of Named Entities Law', | |
| 'Total Number Of Named Entities Language', 'Total Number Of Named Entities Date', | |
| 'Total Number Of Named Entities Time', 'Total Number Of Named Entities Percent', | |
| 'Total Number Of Named Entities Money', 'Total Number Of Named Entities Quantity', | |
| 'Total Number Of Named Entities Ordinal', 'Total Number Of Named Entities Cardinal', | |
| 'Average Number Of Named Entities Per Word', 'Average Number Of Named Entities Person Per Word', | |
| 'Average Number Of Named Entities Norp Per Word', 'Average Number Of Named Entities Fac Per Word', | |
| 'Average Number Of Named Entities Org Per Word', 'Average Number Of Named Entities Gpe Per Word', | |
| 'Average Number Of Named Entities Loc Per Word', 'Average Number Of Named Entities Product Per Word', | |
| 'Average Number Of Named Entities Event Per Word', 'Average Number Of Named Entities Art Per Word', | |
| 'Average Number Of Named Entities Law Per Word', 'Average Number Of Named Entities Language Per Word', | |
| 'Average Number Of Named Entities Date Per Word', 'Average Number Of Named Entities Time Per Word', | |
| 'Average Number Of Named Entities Percent Per Word', 'Average Number Of Named Entities Money Per Word', | |
| 'Average Number Of Named Entities Quantity Per Word', 'Average Number Of Named Entities Ordinal Per Word', | |
| 'Average Number Of Named Entities Cardinal Per Word', 'Average Number Of Named Entities Per Sentence', | |
| 'Average Number Of Named Entities Person Per Sentence', 'Average Number Of Named Entities Norp Per Sentence', | |
| 'Average Number Of Named Entities Fac Per Sentence', 'Average Number Of Named Entities Org Per Sentence', | |
| 'Average Number Of Named Entities Gpe Per Sentence', 'Average Number Of Named Entities Loc Per Sentence', | |
| 'Average Number Of Named Entities Product Per Sentence', 'Average Number Of Named Entities Event Per Sentence', | |
| 'Average Number Of Named Entities Art Per Sentence', 'Average Number Of Named Entities Law Per Sentence', | |
| 'Average Number Of Named Entities Language Per Sentence', 'Average Number Of Named Entities Date Per Sentence', | |
| 'Average Number Of Named Entities Time Per Sentence', 'Average Number Of Named Entities Percent Per Sentence', | |
| 'Average Number Of Named Entities Money Per Sentence', 'Average Number Of Named Entities Quantity Per Sentence', | |
| 'Average Number Of Named Entities Ordinal Per Sentence', 'Average Number Of Named Entities Cardinal Per Sentence', | |
| 'Simple Adjectives Variation', 'Simple Adpositions Variation', | |
| 'Simple Adverbs Variation', 'Simple Auxiliaries Variation', | |
| 'Simple Coordinating Conjunctions Variation', 'Simple Determiners Variation', | |
| 'Simple Interjections Variation', 'Simple Nouns Variation', | |
| 'Simple Numerals Variation', 'Simple Particles Variation', | |
| 'Simple Pronouns Variation', 'Simple Proper Nouns Variation', | |
| 'Simple Punctuations Variation', 'Simple Subordinating Conjunctions Variation', | |
| 'Simple Symbols Variation', 'Simple Verbs Variation', | |
| 'Simple Spaces Variation', 'Root Adjectives Variation', | |
| 'Root Adpositions Variation', 'Root Adverbs Variation', | |
| 'Root Auxiliaries Variation', 'Root Coordinating Conjunctions Variation', | |
| 'Root Determiners Variation', 'Root Interjections Variation', | |
| 'Root Nouns Variation', 'Root Numerals Variation', | |
| 'Root Particles Variation', 'Root Pronouns Variation', | |
| 'Root Proper Nouns Variation', 'Root Punctuations Variation', | |
| 'Root Subordinating Conjunctions Variation', 'Root Symbols Variation', | |
| 'Root Verbs Variation', 'Root Spaces Variation', | |
| 'Corrected Adjectives Variation', 'Corrected Adpositions Variation', | |
| 'Corrected Adverbs Variation', 'Corrected Auxiliaries Variation', | |
| 'Corrected Coordinating Conjunctions Variation', 'Corrected Determiners Variation', | |
| 'Corrected Interjections Variation', 'Corrected Nouns Variation', | |
| 'Corrected Numerals Variation', 'Corrected Particles Variation', | |
| 'Corrected Pronouns Variation', 'Corrected Proper Nouns Variation', | |
| 'Corrected Punctuations Variation', 'Corrected Subordinating Conjunctions Variation', | |
| 'Corrected Symbols Variation', 'Corrected Verbs Variation', | |
| 'Corrected Spaces Variation', 'Simple Type Token Ratio', | |
| 'Root Type Token Ratio', 'Corrected Type Token Ratio', | |
| 'Bilogarithmic Type Token Ratio', 'Uber Type Token Ratio', | |
| 'Simple Type Token Ratio No Lemma', 'Root Type Token Ratio No Lemma', | |
| 'Corrected Type Token Ratio No Lemma', 'Bilogarithmic Type Token Ratio No Lemma', | |
| 'Uber Type Token Ratio No Lemma', 'Total Number Of Adjectives', | |
| 'Total Number Of Adpositions', 'Total Number Of Adverbs', | |
| 'Total Number Of Auxiliaries', 'Total Number Of Coordinating Conjunctions', | |
| 'Total Number Of Determiners', 'Total Number Of Interjections', | |
| 'Total Number Of Nouns', 'Total Number Of Numerals', | |
| 'Total Number Of Particles', 'Total Number Of Pronouns', | |
| 'Total Number Of Proper Nouns', 'Total Number Of Punctuations', | |
| 'Total Number Of Subordinating Conjunctions', 'Total Number Of Symbols', | |
| 'Total Number Of Verbs', 'Total Number Of Spaces', | |
| 'Total Number Of Unique Adjectives', 'Total Number Of Unique Adpositions', | |
| 'Total Number Of Unique Adverbs', 'Total Number Of Unique Auxiliaries', | |
| 'Total Number Of Unique Coordinating Conjunctions', 'Total Number Of Unique Determiners', | |
| 'Total Number Of Unique Interjections', 'Total Number Of Unique Nouns', | |
| 'Total Number Of Unique Numerals', 'Total Number Of Unique Particles', | |
| 'Total Number Of Unique Pronouns', 'Total Number Of Unique Proper Nouns', | |
| 'Total Number Of Unique Punctuations', 'Total Number Of Unique Subordinating Conjunctions', | |
| 'Total Number Of Unique Symbols', 'Total Number Of Unique Verbs', | |
| 'Total Number Of Unique Spaces', 'Average Number Of Adjectives Per Word', | |
| 'Average Number Of Adpositions Per Word', 'Average Number Of Adverbs Per Word', | |
| 'Average Number Of Auxiliaries Per Word', 'Average Number Of Coordinating Conjunctions Per Word', | |
| 'Average Number Of Determiners Per Word', 'Average Number Of Interjections Per Word', | |
| 'Average Number Of Nouns Per Word', 'Average Number Of Numerals Per Word', | |
| 'Average Number Of Particles Per Word', 'Average Number Of Pronouns Per Word', | |
| 'Average Number Of Proper Nouns Per Word', 'Average Number Of Punctuations Per Word', | |
| 'Average Number Of Subordinating Conjunctions Per Word', 'Average Number Of Symbols Per Word', | |
| 'Average Number Of Verbs Per Word', 'Average Number Of Spaces Per Word', | |
| 'Average Number Of Adjectives Per Sentence', 'Average Number Of Adpositions Per Sentence', | |
| 'Average Number Of Adverbs Per Sentence', 'Average Number Of Auxiliaries Per Sentence', | |
| 'Average Number Of Coordinating Conjunctions Per Sentence', 'Average Number Of Determiners Per Sentence', | |
| 'Average Number Of Interjections Per Sentence', 'Average Number Of Nouns Per Sentence', | |
| 'Average Number Of Numerals Per Sentence', 'Average Number Of Particles Per Sentence', | |
| 'Average Number Of Pronouns Per Sentence', 'Average Number Of Proper Nouns Per Sentence', | |
| 'Average Number Of Punctuations Per Sentence', 'Average Number Of Subordinating Conjunctions Per Sentence', | |
| 'Average Number Of Symbols Per Sentence', 'Average Number Of Verbs Per Sentence', | |
| 'Average Number Of Spaces Per Sentence', 'Flesch Kincaid Reading Ease', | |
| 'Flesch Kincaid Grade Level', 'Gunning Fog Index', | |
| 'Smog Index', 'Coleman Liau Index', | |
| 'Automated Readability Index', 'Reading Time For Fast Readers', | |
| 'Reading Time For Average Readers', 'Reading Time For Slow Readers'] | |
| full_names = [ | |
| 'Unique words', | |
| 'Unique sophisticated words', | |
| 'Unique lexical words', | |
| 'Unique sophisticated lexical words', | |
| 'Total words', | |
| 'Total sophisticated words', | |
| 'Total lexical words', | |
| 'Total sophisticated lexical words', | |
| 'Lexical density', | |
| 'Lexical sophistication (total)', | |
| 'Lexical sophistication (unique)', | |
| 'Verb sophistication', | |
| 'Verb sophistication (squared numerator)', | |
| 'Verb sophistication (sqrt denominator)', | |
| 'Unique words', | |
| 'Unique words in first k tokens', | |
| 'Unique words in random k tokens (average of 10 samples)', | |
| 'Unique words in random sequence of k words (average of 10 samples)', | |
| 'Ratio of unique words', | |
| 'Mean TTR of all k word segments', | |
| 'Corrected TTR (sqrt(2N) denominator)', | |
| 'Root TTR (sqrt(N) denominator)', | |
| 'Log TTR', | |
| 'Uber', | |
| 'D Measure', | |
| 'Ratio of unique verbs', | |
| 'Verb variation with squared numerator', | |
| 'Verb variation with (sqrt(2N)) denominator', | |
| 'Verb variation over all lexical words', | |
| 'Noun variation', | |
| 'Adjective variation', | |
| 'Adverb variation', | |
| '(Ajd + Adv) variation', | |
| '# words', | |
| '# sentences', | |
| '# verb phrases', | |
| '# clauses', | |
| '# T-units', | |
| '# dependent clauses', | |
| '# complex T-units', | |
| '# coordinate phrases', | |
| '# complex nominals', | |
| 'Mean length of sentence', | |
| 'Mean length of T-unit', | |
| 'Mean unit of clause', | |
| 'Clauses per sentence', | |
| 'Verb phrases per T-unit', | |
| 'Clauses per T-unit', | |
| 'Dependent clause ratio', | |
| 'Dependent clause per T-unit', | |
| 'T-units per sentence', | |
| 'Complex T-unit ratio', | |
| 'Coordinate phrases per T-unit', | |
| 'Coordinate phrases per clause', | |
| 'Complex nominals per T-unit', | |
| 'Complex nominals per clause', | |
| ] | |
| lingfeat_names = [ | |
| 'WRich05_S', 'WRich10_S', 'WRich15_S', 'WRich20_S', 'WClar05_S', 'WClar10_S', | |
| 'WClar15_S', 'WClar20_S', 'WNois05_S', 'WNois10_S', 'WNois15_S', 'WNois20_S', | |
| 'WTopc05_S', 'WTopc10_S', 'WTopc15_S', 'WTopc20_S', 'BRich05_S', 'BRich10_S', | |
| 'BRich15_S', 'BRich20_S', 'BClar05_S', 'BClar10_S', 'BClar15_S', 'BClar20_S', | |
| 'BNois05_S', 'BNois10_S', 'BNois15_S', 'BNois20_S', 'BTopc05_S', 'BTopc10_S', | |
| 'BTopc15_S', 'BTopc20_S', 'to_EntiM_C', 'as_EntiM_C', 'at_EntiM_C', 'to_UEnti_C', | |
| 'as_UEnti_C', 'at_UEnti_C', 'ra_SSTo_C', 'ra_SOTo_C', 'ra_SXTo_C', 'ra_SNTo_C', | |
| 'ra_OSTo_C', 'ra_OOTo_C', 'ra_OXTo_C', 'ra_ONTo_C', 'ra_XSTo_C', 'ra_XOTo_C', | |
| 'ra_XXTo_C', 'ra_XNTo_C', 'ra_NSTo_C', 'ra_NOTo_C', 'ra_NXTo_C', 'ra_NNTo_C', | |
| 'LoCohPA_S', 'LoCohPW_S', 'LoCohPU_S', 'LoCoDPA_S', 'LoCoDPW_S', 'LoCoDPU_S', | |
| 'to_NoTag_C', 'as_NoTag_C', 'at_NoTag_C', 'ra_NoAjT_C', 'ra_NoVeT_C', 'ra_NoAvT_C', | |
| 'ra_NoSuT_C', 'ra_NoCoT_C', 'to_VeTag_C', 'as_VeTag_C', 'at_VeTag_C', 'ra_VeAjT_C', | |
| 'ra_VeNoT_C', 'ra_VeAvT_C', 'ra_VeSuT_C', 'ra_VeCoT_C', 'to_AjTag_C', 'as_AjTag_C', | |
| 'at_AjTag_C', 'ra_AjNoT_C', 'ra_AjVeT_C', 'ra_AjAvT_C', 'ra_AjSuT_C', 'ra_AjCoT_C', | |
| 'to_AvTag_C', 'as_AvTag_C', 'at_AvTag_C', 'ra_AvAjT_C', 'ra_AvNoT_C', 'ra_AvVeT_C', | |
| 'ra_AvSuT_C', 'ra_AvCoT_C', 'to_SuTag_C', 'as_SuTag_C', 'at_SuTag_C', 'ra_SuAjT_C', | |
| 'ra_SuNoT_C', 'ra_SuVeT_C', 'ra_SuAvT_C', 'ra_SuCoT_C', 'to_CoTag_C', 'as_CoTag_C', | |
| 'at_CoTag_C', 'ra_CoAjT_C', 'ra_CoNoT_C', 'ra_CoVeT_C', 'ra_CoAvT_C', 'ra_CoSuT_C', | |
| 'to_ContW_C', 'as_ContW_C', 'at_ContW_C', 'to_FuncW_C', 'as_FuncW_C', 'at_FuncW_C', | |
| 'ra_CoFuW_C', 'SimpTTR_S', 'CorrTTR_S', 'BiLoTTR_S', 'UberTTR_S', 'MTLDTTR_S', | |
| 'SimpNoV_S', 'SquaNoV_S', 'CorrNoV_S', 'SimpVeV_S', 'SquaVeV_S', 'CorrVeV_S', | |
| 'SimpAjV_S', 'SquaAjV_S', 'CorrAjV_S', 'SimpAvV_S', 'SquaAvV_S', 'CorrAvV_S', | |
| 'to_AAKuW_C', 'as_AAKuW_C', 'at_AAKuW_C', 'to_AAKuL_C', 'as_AAKuL_C', 'at_AAKuL_C', | |
| 'to_AABiL_C', 'as_AABiL_C', 'at_AABiL_C', 'to_AABrL_C', 'as_AABrL_C', 'at_AABrL_C', | |
| 'to_AACoL_C', 'as_AACoL_C', 'at_AACoL_C', 'to_SbFrQ_C', 'as_SbFrQ_C', 'at_SbFrQ_C', | |
| 'to_SbCDC_C', 'as_SbCDC_C', 'at_SbCDC_C', 'to_SbFrL_C', 'as_SbFrL_C', 'at_SbFrL_C', | |
| 'to_SbCDL_C', 'as_SbCDL_C', 'at_SbCDL_C', 'to_SbSBW_C', 'as_SbSBW_C', 'at_SbSBW_C', | |
| 'to_SbL1W_C', 'as_SbL1W_C', 'at_SbL1W_C', 'to_SbSBC_C', 'as_SbSBC_C', 'at_SbSBC_C', | |
| 'to_SbL1C_C', 'as_SbL1C_C', 'at_SbL1C_C', 'TokSenM_S', 'TokSenS_S', 'TokSenL_S', | |
| 'as_Token_C', 'as_Sylla_C', 'at_Sylla_C', 'as_Chara_C', 'at_Chara_C', 'FleschG_S', | |
| 'AutoRea_S', 'ColeLia_S', 'SmogInd_S', 'Gunning_S', 'LinseaW_S' | |
| ] | |
| lingfeat_subtypes = [ | |
| "Knowledge Feats", | |
| "Knowledge Feats", | |
| "Knowledge Feats", | |
| "Knowledge Feats", | |
| "Knowledge Feats", | |
| "Knowledge Feats", | |
| "Knowledge Feats", | |
| "Knowledge Feats", | |
| "Knowledge Feats", | |
| "Knowledge Feats", | |
| "Knowledge Feats", | |
| "Knowledge Feats", | |
| "Knowledge Feats", | |
| "Knowledge Feats", | |
| "Knowledge Feats", | |
| "Knowledge Feats", | |
| "Knowledge Feats", | |
| "Knowledge Feats", | |
| "Knowledge Feats", | |
| "Knowledge Feats", | |
| "Knowledge Feats", | |
| "Knowledge Feats", | |
| "Knowledge Feats", | |
| "Knowledge Feats", | |
| "Knowledge Feats", | |
| "Knowledge Feats", | |
| "Knowledge Feats", | |
| "Knowledge Feats", | |
| "Knowledge Feats", | |
| "Knowledge Feats", | |
| "Knowledge Feats", | |
| "Knowledge Feats", | |
| "Knowledge Feats", | |
| "Knowledge Feats", | |
| "Knowledge Feats", | |
| "Knowledge Feats", | |
| "Knowledge Feats", | |
| "Knowledge Feats", | |
| "Knowledge Feats", | |
| "Knowledge Feats", | |
| "Knowledge Feats", | |
| "Knowledge Feats", | |
| "Knowledge Feats", | |
| "Knowledge Feats", | |
| "Knowledge Feats", | |
| "Knowledge Feats", | |
| "Knowledge Feats", | |
| "Knowledge Feats", | |
| "Entity Density Feats", | |
| "Entity Density Feats", | |
| "Entity Density Feats", | |
| "Entity Density Feats", | |
| "Entity Density Feats", | |
| "Entity Density Feats", | |
| "Entity Grid Feats", | |
| "Entity Grid Feats", | |
| "Entity Grid Feats", | |
| "Entity Grid Feats", | |
| "Entity Grid Feats", | |
| "Entity Grid Feats", | |
| "Entity Grid Feats", | |
| "Entity Grid Feats", | |
| "Entity Grid Feats", | |
| "Entity Grid Feats", | |
| "Entity Grid Feats", | |
| "Entity Grid Feats", | |
| "Entity Grid Feats", | |
| "Entity Grid Feats", | |
| "Entity Grid Feats", | |
| "Entity Grid Feats", | |
| "Entity Grid Feats", | |
| "Entity Grid Feats", | |
| "Entity Grid Feats", | |
| "Entity Grid Feats", | |
| "Entity Grid Feats", | |
| "Entity Grid Feats", | |
| "Phrasal Feats", | |
| "Phrasal Feats", | |
| "Phrasal Feats", | |
| "Phrasal Feats", | |
| "Phrasal Feats", | |
| "Phrasal Feats", | |
| "Phrasal Feats", | |
| "Phrasal Feats", | |
| "Phrasal Feats", | |
| "Phrasal Feats", | |
| "Phrasal Feats", | |
| "Phrasal Feats", | |
| "Phrasal Feats", | |
| "Phrasal Feats", | |
| "Phrasal Feats", | |
| "Phrasal Feats", | |
| "Phrasal Feats", | |
| "Phrasal Feats", | |
| "Phrasal Feats", | |
| "Phrasal Feats", | |
| "Phrasal Feats", | |
| "Phrasal Feats", | |
| "Phrasal Feats", | |
| "Phrasal Feats", | |
| "Phrasal Feats", | |
| "Phrasal Feats", | |
| "Phrasal Feats", | |
| "Phrasal Feats", | |
| "Phrasal Feats", | |
| "Phrasal Feats", | |
| "Phrasal Feats", | |
| "Phrasal Feats", | |
| "Phrasal Feats", | |
| "Phrasal Feats", | |
| "Phrasal Feats", | |
| "Phrasal Feats", | |
| "Phrasal Feats", | |
| "Phrasal Feats", | |
| "Phrasal Feats", | |
| "Phrasal Feats", | |
| "Phrasal Feats", | |
| "Phrasal Feats", | |
| "Phrasal Feats", | |
| "Phrasal Feats", | |
| "Phrasal Feats", | |
| "Phrasal Feats", | |
| "Phrasal Feats", | |
| "Phrasal Feats", | |
| "Tree Structure Feats", | |
| "Tree Structure Feats", | |
| "Tree Structure Feats", | |
| "Tree Structure Feats", | |
| "Tree Structure Feats", | |
| "Tree Structure Feats", | |
| "POS Feats", | |
| "POS Feats", | |
| "POS Feats", | |
| "POS Feats", | |
| "POS Feats", | |
| "POS Feats", | |
| "POS Feats", | |
| "POS Feats", | |
| "POS Feats", | |
| "POS Feats", | |
| "POS Feats", | |
| "POS Feats", | |
| "POS Feats", | |
| "POS Feats", | |
| "POS Feats", | |
| "POS Feats", | |
| "POS Feats", | |
| "POS Feats", | |
| "POS Feats", | |
| "POS Feats", | |
| "POS Feats", | |
| "POS Feats", | |
| "POS Feats", | |
| "POS Feats", | |
| "POS Feats", | |
| "POS Feats", | |
| "POS Feats", | |
| "POS Feats", | |
| "POS Feats", | |
| "POS Feats", | |
| "POS Feats", | |
| "POS Feats", | |
| "POS Feats", | |
| "POS Feats", | |
| "POS Feats", | |
| "POS Feats", | |
| "POS Feats", | |
| "POS Feats", | |
| "POS Feats", | |
| "POS Feats", | |
| "POS Feats", | |
| "POS Feats", | |
| "POS Feats", | |
| "POS Feats", | |
| "POS Feats", | |
| "POS Feats", | |
| "POS Feats", | |
| "POS Feats", | |
| "POS Feats", | |
| "POS Feats", | |
| "POS Feats", | |
| "POS Feats", | |
| "POS Feats", | |
| "POS Feats", | |
| "POS Feats", | |
| "Variation Ratio Feats", | |
| "Variation Ratio Feats", | |
| "Variation Ratio Feats", | |
| "Variation Ratio Feats", | |
| "Variation Ratio Feats", | |
| "Variation Ratio Feats", | |
| "Variation Ratio Feats", | |
| "Variation Ratio Feats", | |
| "Variation Ratio Feats", | |
| "Variation Ratio Feats", | |
| "Variation Ratio Feats", | |
| "Variation Ratio Feats", | |
| "TTR Feats", | |
| "TTR Feats", | |
| "TTR Feats", | |
| "TTR Feats", | |
| "TTR Feats", | |
| "Psycholinguistic Feats", | |
| "Psycholinguistic Feats", | |
| "Psycholinguistic Feats", | |
| "Psycholinguistic Feats", | |
| "Psycholinguistic Feats", | |
| "Psycholinguistic Feats", | |
| "Psycholinguistic Feats", | |
| "Psycholinguistic Feats", | |
| "Psycholinguistic Feats", | |
| "Psycholinguistic Feats", | |
| "Psycholinguistic Feats", | |
| "Psycholinguistic Feats", | |
| "Psycholinguistic Feats", | |
| "Psycholinguistic Feats", | |
| "Psycholinguistic Feats", | |
| "Word Familiarity", | |
| "Word Familiarity", | |
| "Word Familiarity", | |
| "Word Familiarity", | |
| "Word Familiarity", | |
| "Word Familiarity", | |
| "Word Familiarity", | |
| "Word Familiarity", | |
| "Word Familiarity", | |
| "Word Familiarity", | |
| "Word Familiarity", | |
| "Word Familiarity", | |
| "Word Familiarity", | |
| "Word Familiarity", | |
| "Word Familiarity", | |
| "Word Familiarity", | |
| "Word Familiarity", | |
| "Word Familiarity", | |
| "Word Familiarity", | |
| "Word Familiarity", | |
| "Word Familiarity", | |
| "Word Familiarity", | |
| "Word Familiarity", | |
| "Word Familiarity", | |
| "Shallow Feats", | |
| "Shallow Feats", | |
| "Shallow Feats", | |
| "Shallow Feats", | |
| "Shallow Feats", | |
| "Shallow Feats", | |
| "Shallow Feats", | |
| "Shallow Feats", | |
| "Traditional Formulas", | |
| "Traditional Formulas", | |
| "Traditional Formulas", | |
| "Traditional Formulas", | |
| "Traditional Formulas", | |
| "Traditional Formulas", | |
| ] | |
| lingfeat_types = [ | |
| "AdSem", | |
| "AdSem", | |
| "AdSem", | |
| "AdSem", | |
| "AdSem", | |
| "AdSem", | |
| "AdSem", | |
| "AdSem", | |
| "AdSem", | |
| "AdSem", | |
| "AdSem", | |
| "AdSem", | |
| "AdSem", | |
| "AdSem", | |
| "AdSem", | |
| "AdSem", | |
| "AdSem", | |
| "AdSem", | |
| "AdSem", | |
| "AdSem", | |
| "AdSem", | |
| "AdSem", | |
| "AdSem", | |
| "AdSem", | |
| "AdSem", | |
| "AdSem", | |
| "AdSem", | |
| "AdSem", | |
| "AdSem", | |
| "AdSem", | |
| "AdSem", | |
| "AdSem", | |
| "AdSem", | |
| "AdSem", | |
| "AdSem", | |
| "AdSem", | |
| "AdSem", | |
| "AdSem", | |
| "AdSem", | |
| "AdSem", | |
| "AdSem", | |
| "AdSem", | |
| "AdSem", | |
| "AdSem", | |
| "AdSem", | |
| "AdSem", | |
| "AdSem", | |
| "AdSem", | |
| "Disco", | |
| "Disco", | |
| "Disco", | |
| "Disco", | |
| "Disco", | |
| "Disco", | |
| "Disco", | |
| "Disco", | |
| "Disco", | |
| "Disco", | |
| "Disco", | |
| "Disco", | |
| "Disco", | |
| "Disco", | |
| "Disco", | |
| "Disco", | |
| "Disco", | |
| "Disco", | |
| "Disco", | |
| "Disco", | |
| "Disco", | |
| "Disco", | |
| "Disco", | |
| "Disco", | |
| "Disco", | |
| "Disco", | |
| "Disco", | |
| "Disco", | |
| "Synta", | |
| "Synta", | |
| "Synta", | |
| "Synta", | |
| "Synta", | |
| "Synta", | |
| "Synta", | |
| "Synta", | |
| "Synta", | |
| "Synta", | |
| "Synta", | |
| "Synta", | |
| "Synta", | |
| "Synta", | |
| "Synta", | |
| "Synta", | |
| "Synta", | |
| "Synta", | |
| "Synta", | |
| "Synta", | |
| "Synta", | |
| "Synta", | |
| "Synta", | |
| "Synta", | |
| "Synta", | |
| "Synta", | |
| "Synta", | |
| "Synta", | |
| "Synta", | |
| "Synta", | |
| "Synta", | |
| "Synta", | |
| "Synta", | |
| "Synta", | |
| "Synta", | |
| "Synta", | |
| "Synta", | |
| "Synta", | |
| "Synta", | |
| "Synta", | |
| "Synta", | |
| "Synta", | |
| "Synta", | |
| "Synta", | |
| "Synta", | |
| "Synta", | |
| "Synta", | |
| "Synta", | |
| "Synta", | |
| "Synta", | |
| "Synta", | |
| "Synta", | |
| "Synta", | |
| "Synta", | |
| "Synta", | |
| "Synta", | |
| "Synta", | |
| "Synta", | |
| "Synta", | |
| "Synta", | |
| "Synta", | |
| "Synta", | |
| "Synta", | |
| "Synta", | |
| "Synta", | |
| "Synta", | |
| "Synta", | |
| "Synta", | |
| "Synta", | |
| "Synta", | |
| "Synta", | |
| "Synta", | |
| "Synta", | |
| "Synta", | |
| "Synta", | |
| "Synta", | |
| "Synta", | |
| "Synta", | |
| "Synta", | |
| "Synta", | |
| "Synta", | |
| "Synta", | |
| "Synta", | |
| "Synta", | |
| "Synta", | |
| "Synta", | |
| "Synta", | |
| "Synta", | |
| "Synta", | |
| "Synta", | |
| "Synta", | |
| "Synta", | |
| "Synta", | |
| "Synta", | |
| "Synta", | |
| "Synta", | |
| "Synta", | |
| "Synta", | |
| "Synta", | |
| "Synta", | |
| "Synta", | |
| "Synta", | |
| "Synta", | |
| "Synta", | |
| "Synta", | |
| "Synta", | |
| "Synta", | |
| "Synta", | |
| "Synta", | |
| "LxSem", | |
| "LxSem", | |
| "LxSem", | |
| "LxSem", | |
| "LxSem", | |
| "LxSem", | |
| "LxSem", | |
| "LxSem", | |
| "LxSem", | |
| "LxSem", | |
| "LxSem", | |
| "LxSem", | |
| "LxSem", | |
| "LxSem", | |
| "LxSem", | |
| "LxSem", | |
| "LxSem", | |
| "LxSem", | |
| "LxSem", | |
| "LxSem", | |
| "LxSem", | |
| "LxSem", | |
| "LxSem", | |
| "LxSem", | |
| "LxSem", | |
| "LxSem", | |
| "LxSem", | |
| "LxSem", | |
| "LxSem", | |
| "LxSem", | |
| "LxSem", | |
| "LxSem", | |
| "LxSem", | |
| "LxSem", | |
| "LxSem", | |
| "LxSem", | |
| "LxSem", | |
| "LxSem", | |
| "LxSem", | |
| "LxSem", | |
| "LxSem", | |
| "LxSem", | |
| "LxSem", | |
| "LxSem", | |
| "LxSem", | |
| "LxSem", | |
| "LxSem", | |
| "LxSem", | |
| "LxSem", | |
| "LxSem", | |
| "LxSem", | |
| "LxSem", | |
| "LxSem", | |
| "LxSem", | |
| "LxSem", | |
| "LxSem", | |
| "ShaTr", | |
| "ShaTr", | |
| "ShaTr", | |
| "ShaTr", | |
| "ShaTr", | |
| "ShaTr", | |
| "ShaTr", | |
| "ShaTr", | |
| "ShaTr", | |
| "ShaTr", | |
| "ShaTr", | |
| "ShaTr", | |
| "ShaTr", | |
| "ShaTr", | |
| ] | |
| lf_names = """| 1 | AdSem | WoKF_ | Wiki Knowledge Features | WRich05_S | Semantic Richness, 50 topics extracted from Wikipedia | | |
| | 2 | AdSem | WoKF_ | Wiki Knowledge Features | WClar05_S | Semantic Clarity, 50 topics extracted from Wikipedia | | |
| | 3 | AdSem | WoKF_ | Wiki Knowledge Features | WNois05_S | Semantic Noise, 50 topics extracted from Wikipedia | | |
| | 4 | AdSem | WoKF_ | Wiki Knowledge Features | WTopc05_S | Number of topics, 50 topics extracted from Wikipedia | | |
| | 5 | AdSem | WoKF_ | Wiki Knowledge Features | WRich10_S | Semantic Richness, 100 topics extracted from Wikipedia | | |
| | 6 | AdSem | WoKF_ | Wiki Knowledge Features | WClar10_S | Semantic Clarity, 100 topics extracted from Wikipedia | | |
| | 7 | AdSem | WoKF_ | Wiki Knowledge Features | WNois10_S | Semantic Noise, 100 topics extracted from Wikipedia | | |
| | 8 | AdSem | WoKF_ | Wiki Knowledge Features | WTopc10_S | Number of topics, 100 topics extracted from Wikipedia | | |
| | 9 | AdSem | WoKF_ | Wiki Knowledge Features | WRich15_S | Semantic Richness, 150 topics extracted from Wikipedia | | |
| | 10 | AdSem | WoKF_ | Wiki Knowledge Features | WClar15_S | Semantic Clarity, 150 topics extracted from Wikipedia | | |
| | 11 | AdSem | WoKF_ | Wiki Knowledge Features | WNois15_S | Semantic Noise, 150 topics extracted from Wikipedia | | |
| | 12 | AdSem | WoKF_ | Wiki Knowledge Features | WTopc15_S | Number of topics, 150 topics extracted from Wikipedia | | |
| | 13 | AdSem | WoKF_ | Wiki Knowledge Features | WRich20_S | Semantic Richness, 200 topics extracted from Wikipedia | | |
| | 14 | AdSem | WoKF_ | Wiki Knowledge Features | WClar20_S | Semantic Clarity, 200 topics extracted from Wikipedia | | |
| | 15 | AdSem | WoKF_ | Wiki Knowledge Features | WNois20_S | Semantic Noise, 200 topics extracted from Wikipedia | | |
| | 16 | AdSem | WoKF_ | Wiki Knowledge Features | WTopc20_S | Number of topics, 200 topics extracted from Wikipedia | | |
| | 17 | AdSem | WBKF_ | WB Knowledge Features | BRich05_S | Semantic Richness, 50 topics extracted from WeeBit Corpus | | |
| | 18 | AdSem | WBKF_ | WB Knowledge Features | BClar05_S | Semantic Clarity, 50 topics extracted from WeeBit Corpus | | |
| | 19 | AdSem | WBKF_ | WB Knowledge Features | BNois05_S | Semantic Noise, 50 topics extracted from WeeBit Corpus | | |
| | 20 | AdSem | WBKF_ | WB Knowledge Features | BTopc05_S | Number of topics, 50 topics extracted from WeeBit Corpus | | |
| | 21 | AdSem | WBKF_ | WB Knowledge Features | BRich10_S | Semantic Richness, 100 topics extracted from WeeBit Corpus | | |
| | 22 | AdSem | WBKF_ | WB Knowledge Features | BClar10_S | Semantic Clarity, 100 topics extracted from WeeBit Corpus | | |
| | 23 | AdSem | WBKF_ | WB Knowledge Features | BNois10_S | Semantic Noise, 100 topics extracted from WeeBit Corpus | | |
| | 24 | AdSem | WBKF_ | WB Knowledge Features | BTopc10_S | Number of topics, 100 topics extracted from WeeBit Corpus | | |
| | 25 | AdSem | WBKF_ | WB Knowledge Features | BRich15_S | Semantic Richness, 150 topics extracted from WeeBit Corpus | | |
| | 26 | AdSem | WBKF_ | WB Knowledge Features | BClar15_S | Semantic Clarity, 150 topics extracted from WeeBit Corpus | | |
| | 27 | AdSem | WBKF_ | WB Knowledge Features | BNois15_S | Semantic Noise, 150 topics extracted from WeeBit Corpus | | |
| | 28 | AdSem | WBKF_ | WB Knowledge Features | BTopc15_S | Number of topics, 150 topics extracted from WeeBit Corpus | | |
| | 29 | AdSem | WBKF_ | WB Knowledge Features | BRich20_S | Semantic Richness, 200 topics extracted from WeeBit Corpus | | |
| | 30 | AdSem | WBKF_ | WB Knowledge Features | BClar20_S | Semantic Clarity, 200 topics extracted from WeeBit Corpus | | |
| | 31 | AdSem | WBKF_ | WB Knowledge Features | BNois20_S | Semantic Noise, 200 topics extracted from WeeBit Corpus | | |
| | 32 | AdSem | WBKF_ | WB Knowledge Features | BTopc20_S | Number of topics, 200 topics extracted from WeeBit Corpus | | |
| | 33 | AdSem | OSKF_ | OSE Knowledge Features | ORich05_S | Semantic Richness, 50 topics extracted from OneStopEng Corpus | | |
| | 34 | AdSem | OSKF_ | OSE Knowledge Features | OClar05_S | Semantic Clarity, 50 topics extracted from OneStopEng Corpus | | |
| | 35 | AdSem | OSKF_ | OSE Knowledge Features | ONois05_S | Semantic Noise, 50 topics extracted from OneStopEng Corpus | | |
| | 36 | AdSem | OSKF_ | OSE Knowledge Features | OTopc05_S | Number of topics, 50 topics extracted from OneStopEng Corpus | | |
| | 37 | AdSem | OSKF_ | OSE Knowledge Features | ORich10_S | Semantic Richness, 100 topics extracted from OneStopEng Corpus | | |
| | 38 | AdSem | OSKF_ | OSE Knowledge Features | OClar10_S | Semantic Clarity, 100 topics extracted from OneStopEng Corpus | | |
| | 39 | AdSem | OSKF_ | OSE Knowledge Features | ONois10_S | Semantic Noise, 100 topics extracted from OneStopEng Corpus | | |
| | 40 | AdSem | OSKF_ | OSE Knowledge Features | OTopc10_S | Number of topics, 100 topics extracted from OneStopEng Corpus | | |
| | 41 | AdSem | OSKF_ | OSE Knowledge Features | ORich15_S | Semantic Richness, 150 topics extracted from OneStopEng Corpus | | |
| | 42 | AdSem | OSKF_ | OSE Knowledge Features | OClar15_S | Semantic Clarity, 150 topics extracted from OneStopEng Corpus | | |
| | 43 | AdSem | OSKF_ | OSE Knowledge Features | ONois15_S | Semantic Noise, 150 topics extracted from OneStopEng Corpus | | |
| | 44 | AdSem | OSKF_ | OSE Knowledge Features | OTopc15_S | Number of topics, 150 topics extracted from OneStopEng Corpus | | |
| | 45 | AdSem | OSKF_ | OSE Knowledge Features | ORich20_S | Semantic Richness, 200 topics extracted from OneStopEng Corpus | | |
| | 46 | AdSem | OSKF_ | OSE Knowledge Features | OClar20_S | Semantic Clarity, 200 topics extracted from OneStopEng Corpus | | |
| | 47 | AdSem | OSKF_ | OSE Knowledge Features | ONois20_S | Semantic Noise, 200 topics extracted from OneStopEng Corpus | | |
| | 48 | AdSem | OSKF_ | OSE Knowledge Features | OTopc20_S | Number of topics, 200 topics extracted from OneStopEng Corpus | | |
| | 49 | Disco | EnDF_ | Entity Density Features | to_EntiM_C | total number of Entities Mentions counts | | |
| | 50 | Disco | EnDF_ | Entity Density Features | as_EntiM_C | average number of Entities Mentions counts per sentence | | |
| | 51 | Disco | EnDF_ | Entity Density Features | at_EntiM_C | average number of Entities Mentions counts per token (word) | | |
| | 52 | Disco | EnDF_ | Entity Density Features | to_UEnti_C | total number of unique Entities | | |
| | 53 | Disco | EnDF_ | Entity Density Features | as_UEnti_C | average number of unique Entities per sentence | | |
| | 54 | Disco | EnDF_ | Entity Density Features | at_UEnti_C | average number of unique Entities per token (word) | | |
| | 55 | Disco | EnGF_ | Entity Grid Features | ra_SSTo_C | ratio of ss transitions to total | | |
| | 56 | Disco | EnGF_ | Entity Grid Features | ra_SOTo_C | ratio of so transitions to total | | |
| | 57 | Disco | EnGF_ | Entity Grid Features | ra_SXTo_C | ratio of sx transitions to total | | |
| | 58 | Disco | EnGF_ | Entity Grid Features | ra_SNTo_C | ratio of sn transitions to total | | |
| | 59 | Disco | EnGF_ | Entity Grid Features | ra_OSTo_C | ratio of os transitions to total | | |
| | 60 | Disco | EnGF_ | Entity Grid Features | ra_OOTo_C | ratio of oo transitions to total | | |
| | 61 | Disco | EnGF_ | Entity Grid Features | ra_OXTo_C | ratio of ox transitions to total | | |
| | 62 | Disco | EnGF_ | Entity Grid Features | ra_ONTo_C | ratio of on transitions to total | | |
| | 63 | Disco | EnGF_ | Entity Grid Features | ra_XSTo_C | ratio of xs transitions to total | | |
| | 64 | Disco | EnGF_ | Entity Grid Features | ra_XOTo_C | ratio of xo transitions to total | | |
| | 65 | Disco | EnGF_ | Entity Grid Features | ra_XXTo_C | ratio of xx transitions to total | | |
| | 66 | Disco | EnGF_ | Entity Grid Features | ra_XNTo_C | ratio of xn transitions to total | | |
| | 67 | Disco | EnGF_ | Entity Grid Features | ra_NSTo_C | ratio of ns transitions to total | | |
| | 68 | Disco | EnGF_ | Entity Grid Features | ra_NOTo_C | ratio of no transitions to total | | |
| | 69 | Disco | EnGF_ | Entity Grid Features | ra_NXTo_C | ratio of nx transitions to total | | |
| | 70 | Disco | EnGF_ | Entity Grid Features | ra_NNTo_C | ratio of nn transitions to total | | |
| | 71 | Disco | EnGF_ | Entity Grid Features | LoCohPA_S | Local Coherence for PA score | | |
| | 72 | Disco | EnGF_ | Entity Grid Features | LoCohPW_S | Local Coherence for PW score | | |
| | 73 | Disco | EnGF_ | Entity Grid Features | LoCohPU_S | Local Coherence for PU score | | |
| | 74 | Disco | EnGF_ | Entity Grid Features | LoCoDPA_S | Local Coherence distance for PA score | | |
| | 75 | Disco | EnGF_ | Entity Grid Features | LoCoDPW_S | Local Coherence distance for PW score | | |
| | 76 | Disco | EnGF_ | Entity Grid Features | LoCoDPU_S | Local Coherence distance for PU score | | |
| | 77 | Synta | PhrF_ | Phrasal Features | to_NoPhr_C | total count of Noun phrases | | |
| | 78 | Synta | PhrF_ | Phrasal Features | as_NoPhr_C | average count of Noun phrases per sentence | | |
| | 79 | Synta | PhrF_ | Phrasal Features | at_NoPhr_C | average count of Noun phrases per token | | |
| | 80 | Synta | PhrF_ | Phrasal Features | ra_NoVeP_C | ratio of Noun phrases count to Verb phrases count | | |
| | 81 | Synta | PhrF_ | Phrasal Features | ra_NoSuP_C | ratio of Noun phrases count to Subordinate Clauses count | | |
| | 82 | Synta | PhrF_ | Phrasal Features | ra_NoPrP_C | ratio of Noun phrases count to Prep phrases count | | |
| | 83 | Synta | PhrF_ | Phrasal Features | ra_NoAjP_C | ratio of Noun phrases count to Adj phrases count | | |
| | 84 | Synta | PhrF_ | Phrasal Features | ra_NoAvP_C | ratio of Noun phrases count to Adv phrases count | | |
| | 85 | Synta | PhrF_ | Phrasal Features | to_VePhr_C | total count of Verb phrases | | |
| | 86 | Synta | PhrF_ | Phrasal Features | as_VePhr_C | average count of Verb phrases per sentence | | |
| | 87 | Synta | PhrF_ | Phrasal Features | at_VePhr_C | average count of Verb phrases per token | | |
| | 88 | Synta | PhrF_ | Phrasal Features | ra_VeNoP_C | ratio of Verb phrases count to Noun phrases count | | |
| | 89 | Synta | PhrF_ | Phrasal Features | ra_VeSuP_C | ratio of Verb phrases count to Subordinate Clauses count | | |
| | 90 | Synta | PhrF_ | Phrasal Features | ra_VePrP_C | ratio of Verb phrases count to Prep phrases count | | |
| | 91 | Synta | PhrF_ | Phrasal Features | ra_VeAjP_C | ratio of Verb phrases count to Adj phrases count | | |
| | 92 | Synta | PhrF_ | Phrasal Features | ra_VeAvP_C | ratio of Verb phrases count to Adv phrases count | | |
| | 93 | Synta | PhrF_ | Phrasal Features | to_SuPhr_C | total count of Subordinate Clauses | | |
| | 94 | Synta | PhrF_ | Phrasal Features | as_SuPhr_C | average count of Subordinate Clauses per sentence | | |
| | 95 | Synta | PhrF_ | Phrasal Features | at_SuPhr_C | average count of Subordinate Clauses per token | | |
| | 96 | Synta | PhrF_ | Phrasal Features | ra_SuNoP_C | ratio of Subordinate Clauses count to Noun phrases count | | |
| | 97 | Synta | PhrF_ | Phrasal Features | ra_SuVeP_C | ratio of Subordinate Clauses count to Verb phrases count | | |
| | 98 | Synta | PhrF_ | Phrasal Features | ra_SuPrP_C | ratio of Subordinate Clauses count to Prep phrases count | | |
| | 99 | Synta | PhrF_ | Phrasal Features | ra_SuAjP_C | ratio of Subordinate Clauses count to Adj phrases count | | |
| | 100 | Synta | PhrF_ | Phrasal Features | ra_SuAvP_C | ratio of Subordinate Clauses count to Adv phrases count | | |
| | 101 | Synta | PhrF_ | Phrasal Features | to_PrPhr_C | total count of prepositional phrases | | |
| | 102 | Synta | PhrF_ | Phrasal Features | as_PrPhr_C | average count of prepositional phrases per sentence | | |
| | 103 | Synta | PhrF_ | Phrasal Features | at_PrPhr_C | average count of prepositional phrases per token | | |
| | 104 | Synta | PhrF_ | Phrasal Features | ra_PrNoP_C | ratio of Prep phrases count to Noun phrases count | | |
| | 105 | Synta | PhrF_ | Phrasal Features | ra_PrVeP_C | ratio of Prep phrases count to Verb phrases count | | |
| | 106 | Synta | PhrF_ | Phrasal Features | ra_PrSuP_C | ratio of Prep phrases count to Subordinate Clauses count | | |
| | 107 | Synta | PhrF_ | Phrasal Features | ra_PrAjP_C | ratio of Prep phrases count to Adj phrases count | | |
| | 108 | Synta | PhrF_ | Phrasal Features | ra_PrAvP_C | ratio of Prep phrases count to Adv phrases count | | |
| | 109 | Synta | PhrF_ | Phrasal Features | to_AjPhr_C | total count of Adjective phrases | | |
| | 110 | Synta | PhrF_ | Phrasal Features | as_AjPhr_C | average count of Adjective phrases per sentence | | |
| | 111 | Synta | PhrF_ | Phrasal Features | at_AjPhr_C | average count of Adjective phrases per token | | |
| | 112 | Synta | PhrF_ | Phrasal Features | ra_AjNoP_C | ratio of Adj phrases count to Noun phrases count | | |
| | 113 | Synta | PhrF_ | Phrasal Features | ra_AjVeP_C | ratio of Adj phrases count to Verb phrases count | | |
| | 114 | Synta | PhrF_ | Phrasal Features | ra_AjSuP_C | ratio of Adj phrases count to Subordinate Clauses count | | |
| | 115 | Synta | PhrF_ | Phrasal Features | ra_AjPrP_C | ratio of Adj phrases count to Prep phrases count | | |
| | 116 | Synta | PhrF_ | Phrasal Features | ra_AjAvP_C | ratio of Adj phrases count to Adv phrases count | | |
| | 117 | Synta | PhrF_ | Phrasal Features | to_AvPhr_C | total count of Adverb phrases | | |
| | 118 | Synta | PhrF_ | Phrasal Features | as_AvPhr_C | average count of Adverb phrases per sentence | | |
| | 119 | Synta | PhrF_ | Phrasal Features | at_AvPhr_C | average count of Adverb phrases per token | | |
| | 120 | Synta | PhrF_ | Phrasal Features | ra_AvNoP_C | ratio of Adv phrases count to Noun phrases count | | |
| | 121 | Synta | PhrF_ | Phrasal Features | ra_AvVeP_C | ratio of Adv phrases count to Verb phrases count | | |
| | 122 | Synta | PhrF_ | Phrasal Features | ra_AvSuP_C | ratio of Adv phrases count to Subordinate Clauses count | | |
| | 123 | Synta | PhrF_ | Phrasal Features | ra_AvPrP_C | ratio of Adv phrases count to Prep phrases count | | |
| | 124 | Synta | PhrF_ | Phrasal Features | ra_AvAjP_C | ratio of Adv phrases count to Adj phrases count | | |
| | 125 | Synta | TrSF_ | Tree Structure Features | to_TreeH_C | total Tree height of all sentences | | |
| | 126 | Synta | TrSF_ | Tree Structure Features | as_TreeH_C | average Tree height per sentence | | |
| | 127 | Synta | TrSF_ | Tree Structure Features | at_TreeH_C | average Tree height per token (word) | | |
| | 128 | Synta | TrSF_ | Tree Structure Features | to_FTree_C | total length of flattened Trees | | |
| | 129 | Synta | TrSF_ | Tree Structure Features | as_FTree_C | average length of flattened Trees per sentence | | |
| | 130 | Synta | TrSF_ | Tree Structure Features | at_FTree_C | average length of flattened Trees per token (word) | | |
| | 131 | Synta | POSF_ | Part-of-Speech Features | to_NoTag_C | total count of Noun POS tags | | |
| | 132 | Synta | POSF_ | Part-of-Speech Features | as_NoTag_C | average count of Noun POS tags per sentence | | |
| | 133 | Synta | POSF_ | Part-of-Speech Features | at_NoTag_C | average count of Noun POS tags per token | | |
| | 134 | Synta | POSF_ | Part-of-Speech Features | ra_NoAjT_C | ratio of Noun POS count to Adjective POS count | | |
| | 135 | Synta | POSF_ | Part-of-Speech Features | ra_NoVeT_C | ratio of Noun POS count to Verb POS count | | |
| | 136 | Synta | POSF_ | Part-of-Speech Features | ra_NoAvT_C | ratio of Noun POS count to Adverb POS count | | |
| | 137 | Synta | POSF_ | Part-of-Speech Features | ra_NoSuT_C | ratio of Noun POS count to Subordinating Conjunction count | | |
| | 138 | Synta | POSF_ | Part-of-Speech Features | ra_NoCoT_C | ratio of Noun POS count to Coordinating Conjunction count | | |
| | 139 | Synta | POSF_ | Part-of-Speech Features | to_VeTag_C | total count of Verb POS tags | | |
| | 140 | Synta | POSF_ | Part-of-Speech Features | as_VeTag_C | average count of Verb POS tags per sentence | | |
| | 141 | Synta | POSF_ | Part-of-Speech Features | at_VeTag_C | average count of Verb POS tags per token | | |
| | 142 | Synta | POSF_ | Part-of-Speech Features | ra_VeAjT_C | ratio of Verb POS count to Adjective POS count | | |
| | 143 | Synta | POSF_ | Part-of-Speech Features | ra_VeNoT_C | ratio of Verb POS count to Noun POS count | | |
| | 144 | Synta | POSF_ | Part-of-Speech Features | ra_VeAvT_C | ratio of Verb POS count to Adverb POS count | | |
| | 145 | Synta | POSF_ | Part-of-Speech Features | ra_VeSuT_C | ratio of Verb POS count to Subordinating Conjunction count | | |
| | 146 | Synta | POSF_ | Part-of-Speech Features | ra_VeCoT_C | ratio of Verb POS count to Coordinating Conjunction count | | |
| | 147 | Synta | POSF_ | Part-of-Speech Features | to_AjTag_C | total count of Adjective POS tags | | |
| | 148 | Synta | POSF_ | Part-of-Speech Features | as_AjTag_C | average count of Adjective POS tags per sentence | | |
| | 149 | Synta | POSF_ | Part-of-Speech Features | at_AjTag_C | average count of Adjective POS tags per token | | |
| | 150 | Synta | POSF_ | Part-of-Speech Features | ra_AjNoT_C | ratio of Adjective POS count to Noun POS count | | |
| | 151 | Synta | POSF_ | Part-of-Speech Features | ra_AjVeT_C | ratio of Adjective POS count to Verb POS count | | |
| | 152 | Synta | POSF_ | Part-of-Speech Features | ra_AjAvT_C | ratio of Adjective POS count to Adverb POS count | | |
| | 153 | Synta | POSF_ | Part-of-Speech Features | ra_AjSuT_C | ratio of Adjective POS count to Subordinating Conjunction count | | |
| | 154 | Synta | POSF_ | Part-of-Speech Features | ra_AjCoT_C | ratio of Adjective POS count to Coordinating Conjunction count | | |
| | 155 | Synta | POSF_ | Part-of-Speech Features | to_AvTag_C | total count of Adverb POS tags | | |
| | 156 | Synta | POSF_ | Part-of-Speech Features | as_AvTag_C | average count of Adverb POS tags per sentence | | |
| | 157 | Synta | POSF_ | Part-of-Speech Features | at_AvTag_C | average count of Adverb POS tags per token | | |
| | 158 | Synta | POSF_ | Part-of-Speech Features | ra_AvAjT_C | ratio of Adverb POS count to Adjective POS count | | |
| | 159 | Synta | POSF_ | Part-of-Speech Features | ra_AvNoT_C | ratio of Adverb POS count to Noun POS count | | |
| | 160 | Synta | POSF_ | Part-of-Speech Features | ra_AvVeT_C | ratio of Adverb POS count to Verb POS count | | |
| | 161 | Synta | POSF_ | Part-of-Speech Features | ra_AvSuT_C | ratio of Adverb POS count to Subordinating Conjunction count | | |
| | 162 | Synta | POSF_ | Part-of-Speech Features | ra_AvCoT_C | ratio of Adverb POS count to Coordinating Conjunction count | | |
| | 163 | Synta | POSF_ | Part-of-Speech Features | to_SuTag_C | total count of Subordinating Conjunction POS tags | | |
| | 164 | Synta | POSF_ | Part-of-Speech Features | as_SuTag_C | average count of Subordinating Conjunction POS tags per sentence | | |
| | 165 | Synta | POSF_ | Part-of-Speech Features | at_SuTag_C | average count of Subordinating Conjunction POS tags per token | | |
| | 166 | Synta | POSF_ | Part-of-Speech Features | ra_SuAjT_C | ratio of Subordinating Conjunction POS count to Adjective POS count | | |
| | 167 | Synta | POSF_ | Part-of-Speech Features | ra_SuNoT_C | ratio of Subordinating Conjunction POS count to Noun POS count | | |
| | 168 | Synta | POSF_ | Part-of-Speech Features | ra_SuVeT_C | ratio of Subordinating Conjunction POS count to Verb POS count | | |
| | 169 | Synta | POSF_ | Part-of-Speech Features | ra_SuAvT_C | ratio of Subordinating Conjunction POS count to Adverb POS count | | |
| | 170 | Synta | POSF_ | Part-of-Speech Features | ra_SuCoT_C | ratio of Subordinating Conjunction POS count to Coordinating Conjunction count | | |
| | 171 | Synta | POSF_ | Part-of-Speech Features | to_CoTag_C | total count of Coordinating Conjunction POS tags | | |
| | 172 | Synta | POSF_ | Part-of-Speech Features | as_CoTag_C | average count of Coordinating Conjunction POS tags per sentence | | |
| | 173 | Synta | POSF_ | Part-of-Speech Features | at_CoTag_C | average count of Coordinating Conjunction POS tags per token | | |
| | 174 | Synta | POSF_ | Part-of-Speech Features | ra_CoAjT_C | ratio of Coordinating Conjunction POS count to Adjective POS count | | |
| | 175 | Synta | POSF_ | Part-of-Speech Features | ra_CoNoT_C | ratio of Coordinating Conjunction POS count to Noun POS count | | |
| | 176 | Synta | POSF_ | Part-of-Speech Features | ra_CoVeT_C | ratio of Coordinating Conjunction POS count to Verb POS count | | |
| | 177 | Synta | POSF_ | Part-of-Speech Features | ra_CoAvT_C | ratio of Coordinating Conjunction POS count to Adverb POS count | | |
| | 178 | Synta | POSF_ | Part-of-Speech Features | ra_CoSuT_C | ratio of Coordinating Conjunction POS count to Subordinating Conjunction count | | |
| | 179 | Synta | POSF_ | Part-of-Speech Features | to_ContW_C | total count of Content words | | |
| | 180 | Synta | POSF_ | Part-of-Speech Features | as_ContW_C | average count of Content words per sentence | | |
| | 181 | Synta | POSF_ | Part-of-Speech Features | at_ContW_C | average count of Content words per token | | |
| | 182 | Synta | POSF_ | Part-of-Speech Features | to_FuncW_C | total count of Function words | | |
| | 183 | Synta | POSF_ | Part-of-Speech Features | as_FuncW_C | average count of Function words per sentence | | |
| | 184 | Synta | POSF_ | Part-of-Speech Features | at_FuncW_C | average count of Function words per token | | |
| | 185 | Synta | POSF_ | Part-of-Speech Features | ra_CoFuW_C | ratio of Content words to Function words | | |
| | 186 | LxSem | VarF_ | Variation Ratio Features | SimpNoV_S | unique Nouns/total Nouns (Noun Variation-1) | | |
| | 187 | LxSem | VarF_ | Variation Ratio Features | SquaNoV_S | (unique Nouns**2)/total Nouns (Squared Noun Variation-1) | | |
| | 188 | LxSem | VarF_ | Variation Ratio Features | CorrNoV_S | unique Nouns/sqrt(2*total Nouns) (Corrected Noun Variation-1) | | |
| | 189 | LxSem | VarF_ | Variation Ratio Features | SimpVeV_S | unique Verbs/total Verbs (Verb Variation-1) | | |
| | 190 | LxSem | VarF_ | Variation Ratio Features | SquaVeV_S | (unique Verbs**2)/total Verbs (Squared Verb Variation-1) | | |
| | 191 | LxSem | VarF_ | Variation Ratio Features | CorrVeV_S | unique Verbs/sqrt(2*total Verbs) (Corrected Verb Variation-1) | | |
| | 192 | LxSem | VarF_ | Variation Ratio Features | SimpAjV_S | unique Adjectives/total Adjectives (Adjective Variation-1) | | |
| | 193 | LxSem | VarF_ | Variation Ratio Features | SquaAjV_S | (unique Adjectives**2)/total Adjectives (Squared Adjective Variation-1) | | |
| | 194 | LxSem | VarF_ | Variation Ratio Features | CorrAjV_S | unique Adjectives/sqrt(2*total Adjectives) (Corrected Adjective Variation-1) | | |
| | 195 | LxSem | VarF_ | Variation Ratio Features | SimpAvV_S | unique Adverbs/total Adverbs (AdVerb Variation-1) | | |
| | 196 | LxSem | VarF_ | Variation Ratio Features | SquaAvV_S | (unique Adverbs**2)/total Adverbs (Squared AdVerb Variation-1) | | |
| | 197 | LxSem | VarF_ | Variation Ratio Features | CorrAvV_S | unique Adverbs/sqrt(2*total Adverbs) (Corrected AdVerb Variation-1) | | |
| | 198 | LxSem | TTRF_ | Type Token Ratio Features | SimpTTR_S | unique tokens/total tokens (TTR) | | |
| | 199 | LxSem | TTRF_ | Type Token Ratio Features | CorrTTR_S | unique tokens/sqrt(2*total tokens) (Corrected TTR) | | |
| | 200 | LxSem | TTRF_ | Type Token Ratio Features | BiLoTTR_S | log(unique tokens)/log(total tokens) (Bi-Logarithmic TTR) | | |
| | 201 | LxSem | TTRF_ | Type Token Ratio Features | UberTTR_S | (log(unique tokens))^2/log(total tokens/unique tokens) (Uber Index) | | |
| | 202 | LxSem | TTRF_ | Type Token Ratio Features | MTLDTTR_S | Measure of Textual Lexical Diversity (default TTR = 0.72) | | |
| | 203 | LxSem | PsyF_ | Psycholinguistic Features | to_AAKuW_C | total AoA (Age of Acquisition) of words | | |
| | 204 | LxSem | PsyF_ | Psycholinguistic Features | as_AAKuW_C | average AoA of words per sentence | | |
| | 205 | LxSem | PsyF_ | Psycholinguistic Features | at_AAKuW_C | average AoA of words per token | | |
| | 206 | LxSem | PsyF_ | Psycholinguistic Features | to_AAKuL_C | total lemmas AoA of lemmas | | |
| | 207 | LxSem | PsyF_ | Psycholinguistic Features | as_AAKuL_C | average lemmas AoA of lemmas per sentence | | |
| | 208 | LxSem | PsyF_ | Psycholinguistic Features | at_AAKuL_C | average lemmas AoA of lemmas per token | | |
| | 209 | LxSem | PsyF_ | Psycholinguistic Features | to_AABiL_C | total lemmas AoA of lemmas, Bird norm | | |
| | 210 | LxSem | PsyF_ | Psycholinguistic Features | as_AABiL_C | average lemmas AoA of lemmas, Bird norm per sentence | | |
| | 211 | LxSem | PsyF_ | Psycholinguistic Features | at_AABiL_C | average lemmas AoA of lemmas, Bird norm per token | | |
| | 212 | LxSem | PsyF_ | Psycholinguistic Features | to_AABrL_C | total lemmas AoA of lemmas, Bristol norm | | |
| | 213 | LxSem | PsyF_ | Psycholinguistic Features | as_AABrL_C | average lemmas AoA of lemmas, Bristol norm per sentence | | |
| | 214 | LxSem | PsyF_ | Psycholinguistic Features | at_AABrL_C | average lemmas AoA of lemmas, Bristol norm per token | | |
| | 215 | LxSem | PsyF_ | Psycholinguistic Features | to_AACoL_C | total AoA of lemmas, Cortese and Khanna norm | | |
| | 216 | LxSem | PsyF_ | Psycholinguistic Features | as_AACoL_C | average AoA of lemmas, Cortese and Khanna norm per sentence | | |
| | 217 | LxSem | PsyF_ | Psycholinguistic Features | at_AACoL_C | average AoA of lemmas, Cortese and Khanna norm per token | | |
| | 218 | LxSem | WorF_ | Word Familiarity | to_SbFrQ_C | total SubtlexUS FREQcount value | | |
| | 219 | LxSem | WorF_ | Word Familiarity | as_SbFrQ_C | average SubtlexUS FREQcount value per sentenc | | |
| | 220 | LxSem | WorF_ | Word Familiarity | at_SbFrQ_C | average SubtlexUS FREQcount value per token | | |
| | 221 | LxSem | WorF_ | Word Familiarity | to_SbCDC_C | total SubtlexUS CDcount value | | |
| | 222 | LxSem | WorF_ | Word Familiarity | as_SbCDC_C | average SubtlexUS CDcount value per sentence | | |
| | 223 | LxSem | WorF_ | Word Familiarity | at_SbCDC_C | average SubtlexUS CDcount value per token | | |
| | 224 | LxSem | WorF_ | Word Familiarity | to_SbFrL_C | total SubtlexUS FREQlow value | | |
| | 225 | LxSem | WorF_ | Word Familiarity | as_SbFrL_C | average SubtlexUS FREQlow value per sentence | | |
| | 226 | LxSem | WorF_ | Word Familiarity | at_SbFrL_C | average SubtlexUS FREQlow value per token | | |
| | 227 | LxSem | WorF_ | Word Familiarity | to_SbCDL_C | total SubtlexUS CDlow value | | |
| | 228 | LxSem | WorF_ | Word Familiarity | as_SbCDL_C | average SubtlexUS CDlow value per sentence | | |
| | 229 | LxSem | WorF_ | Word Familiarity | at_SbCDL_C | average SubtlexUS CDlow value per token | | |
| | 230 | LxSem | WorF_ | Word Familiarity | to_SbSBW_C | total SubtlexUS SUBTLWF value | | |
| | 231 | LxSem | WorF_ | Word Familiarity | as_SbSBW_C | average SubtlexUS SUBTLWF value per sentence | | |
| | 232 | LxSem | WorF_ | Word Familiarity | at_SbSBW_C | average SubtlexUS SUBTLWF value per token | | |
| | 233 | LxSem | WorF_ | Word Familiarity | to_SbL1W_C | total SubtlexUS Lg10WF value | | |
| | 234 | LxSem | WorF_ | Word Familiarity | as_SbL1W_C | average SubtlexUS Lg10WF value per sentence | | |
| | 235 | LxSem | WorF_ | Word Familiarity | at_SbL1W_C | average SubtlexUS Lg10WF value per token | | |
| | 236 | LxSem | WorF_ | Word Familiarity | to_SbSBC_C | total SubtlexUS SUBTLCD value | | |
| | 237 | LxSem | WorF_ | Word Familiarity | as_SbSBC_C | average SubtlexUS SUBTLCD value per sentence | | |
| | 238 | LxSem | WorF_ | Word Familiarity | at_SbSBC_C | average SubtlexUS SUBTLCD value per token | | |
| | 239 | LxSem | WorF_ | Word Familiarity | to_SbL1C_C | total SubtlexUS Lg10CD value | | |
| | 240 | LxSem | WorF_ | Word Familiarity | as_SbL1C_C | average SubtlexUS Lg10CD value per sentence | | |
| | 241 | LxSem | WorF_ | Word Familiarity | at_SbL1C_C | average SubtlexUS Lg10CD value per token | | |
| | 242 | ShaTr | ShaF_ | Shallow Features | TokSenM_S | total count of tokens x total count of sentence | | |
| | 243 | ShaTr | ShaF_ | Shallow Features | TokSenS_S | sqrt(total count of tokens x total count of sentence) | | |
| | 244 | ShaTr | ShaF_ | Shallow Features | TokSenL_S | log(total count of tokens)/log(total count of sentence) | | |
| | 245 | ShaTr | ShaF_ | Shallow Features | as_Token_C | average count of tokens per sentence | | |
| | 246 | ShaTr | ShaF_ | Shallow Features | as_Sylla_C | average count of syllables per sentence | | |
| | 247 | ShaTr | ShaF_ | Shallow Features | at_Sylla_C | average count of syllables per token | | |
| | 248 | ShaTr | ShaF_ | Shallow Features | as_Chara_C | average count of characters per sentence | | |
| | 249 | ShaTr | ShaF_ | Shallow Features | at_Chara_C | average count of characters per token | | |
| | 250 | ShaTr | TraF_ | Traditional Formulas | SmogInd_S | Smog Index | | |
| | 251 | ShaTr | TraF_ | Traditional Formulas | ColeLia_S | Coleman Liau Readability Score | | |
| | 252 | ShaTr | TraF_ | Traditional Formulas | Gunning_S | Gunning Fog Count Score | | |
| | 253 | ShaTr | TraF_ | Traditional Formulas | AutoRea_S | New Automated Readability Index | | |
| | 254 | ShaTr | TraF_ | Traditional Formulas | FleschG_S | Flesch Kincaid Grade Level | | |
| | 255 | ShaTr | TraF_ | Traditional Formulas | LinseaW_S | Linsear Write Formula Score""" | |
| lsca_names = lca_names + sca_names | |
| name_map = {lsca_names[i]: full_names[i] for i in range(len(lsca_names))} | |
| type_map = {lingfeat_names[i]: lingfeat_subtypes[i] for i in range(len(lingfeat_names))} | |
| type_map.update({n: 'lexical' for n in lca_names}) | |
| type_map.update({n: 'syntax' for n in sca_names}) | |
| # from lingfeat_full_names import lf_names | |
| lf_names = lf_names.split('\n') | |
| lf_names = [tuple(x.split('|')[5:7]) for x in lf_names] | |
| lf_map = {k.strip(): v.strip() for k,v in lf_names} | |
| name_map.update(lf_map) | |
| used_indices = [ | |
| 1, 2, 3, 4, 5, 6, 7, 10, 11, 18, 25, 30, 31, 34, 35, 36, 37, 39, 40, 41, 57, | |
| 63, 64, 65, 66, 67, 68, 73, 121, 124, 129, 134, 136, 254, | |
| 257, 258, 261, 263, 272, 274 | |
| ] | |
| eval_indices = [4,5,6,18,257,272] | |
| eval_indices = [used_indices.index(idx) for idx in eval_indices] | |
| lftk_df = pd.read_csv('lftk_ids.csv') | |
| lftk_types = {row['key']: row['domain'] for i,row in lftk_df.iterrows()} | |
| type_map.update(lftk_types) | |
| type_map = {k:\ | |
| 'syntax' if v == 'surface'\ | |
| else 'lexical' if v == 'lexico-semantics'\ | |
| else v\ | |
| for k,v in type_map.items()} | |
| lftkplus_names = lca_names + sca_names + lftk_names | |
| lftkplus_names = [lftkplus_names[i] for i in used_indices] | |
| lftk_map = {k: v for k,v in zip(lftk_names, lftk_full_names)} | |
| name_map.update(lftk_map) | |
| rev_name_map = {v: k for k,v in name_map.items()} | |