Token Classification
spaCy
Turkish
Eval Results
BayanDuygu commited on
Commit
93695c2
1 Parent(s): 8fa5367

Update spaCy pipeline

Browse files
.gitattributes CHANGED
@@ -31,3 +31,10 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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  *.zip filter=lfs diff=lfs merge=lfs -text
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  *.zst filter=lfs diff=lfs merge=lfs -text
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+ tr_core_news_md-any-py3-none-any.whl filter=lfs diff=lfs merge=lfs -text
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+ morphologizer/model filter=lfs diff=lfs merge=lfs -text
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+ ner/model filter=lfs diff=lfs merge=lfs -text
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+ parser/model filter=lfs diff=lfs merge=lfs -text
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+ tok2vec/model filter=lfs diff=lfs merge=lfs -text
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+ trainable_lemmatizer/model filter=lfs diff=lfs merge=lfs -text
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+ vocab/vectors filter=lfs diff=lfs merge=lfs -text
README.md ADDED
The diff for this file is too large to render. See raw diff
 
config.cfg ADDED
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+ [paths]
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+ tagger_model = "training/BOUN/model-best"
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+ ner_model = "training/NER/model-best"
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+ train = null
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+ dev = null
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+ vectors = null
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+ init_tok2vec = null
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+
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+ [system]
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+ seed = 0
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+ gpu_allocator = null
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+
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+ [nlp]
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+ lang = "tr"
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+ pipeline = ["tok2vec","tagger","morphologizer","trainable_lemmatizer","parser","ner"]
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+ tokenizer = {"@tokenizers":"spacy.Tokenizer.v1"}
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+ disabled = []
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+ before_creation = null
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+ after_creation = null
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+ after_pipeline_creation = null
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+ batch_size = 1000
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+
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+ [components]
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+
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+ [components.morphologizer]
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+ factory = "morphologizer"
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+ extend = false
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+ overwrite = true
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+ scorer = {"@scorers":"spacy.morphologizer_scorer.v1"}
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+
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+ [components.morphologizer.model]
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+ @architectures = "spacy.Tagger.v2"
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+ nO = null
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+ normalize = false
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+
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+ [components.morphologizer.model.tok2vec]
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+ @architectures = "spacy.Tok2VecListener.v1"
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+ width = 256
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+ upstream = "*"
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+
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+ [components.ner]
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+ factory = "beam_ner"
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+ beam_density = 0.01
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+ beam_update_prob = 1
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+ beam_width = 32
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+ incorrect_spans_key = null
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+ moves = null
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+ scorer = {"@scorers":"spacy.ner_scorer.v1"}
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+ update_with_oracle_cut_size = 100
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+
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+ [components.ner.model]
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+ @architectures = "spacy.TransitionBasedParser.v2"
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+ state_type = "ner"
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+ extra_state_tokens = false
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+ hidden_width = 64
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+ maxout_pieces = 2
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+ use_upper = true
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+ nO = null
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+ @architectures = "spacy.Tok2Vec.v2"
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+
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+ [components.ner.model.tok2vec.embed]
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+ @architectures = "spacy.MultiHashEmbed.v2"
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+ width = 256
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+ attrs = ["NORM","PREFIX","SUFFIX","SHAPE"]
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+ rows = [5000,1000,2500,2500]
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+ include_static_vectors = true
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+
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+ [components.ner.model.tok2vec.encode]
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+ @architectures = "spacy.MaxoutWindowEncoder.v2"
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+ width = 256
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+ depth = 8
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+ window_size = 1
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+ maxout_pieces = 3
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+
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+ [components.parser]
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+ factory = "parser"
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+ learn_tokens = false
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+ min_action_freq = 30
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+ moves = null
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+ scorer = {"@scorers":"spacy.parser_scorer.v1"}
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+ update_with_oracle_cut_size = 100
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+
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+ maxout_pieces = 3
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+ use_upper = true
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+ nO = null
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+ [components.tagger]
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+ upstream = "*"
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+
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+ [components.tok2vec]
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+ factory = "tok2vec"
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+
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+ [components.tok2vec.model]
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+ @architectures = "spacy.Tok2Vec.v2"
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+
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+ [components.tok2vec.model.embed]
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+ attrs = ["NORM","PREFIX","SUFFIX","SHAPE"]
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+ rows = [5000,1000,2500,2500]
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+ include_static_vectors = true
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+
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+ [components.tok2vec.model.encode]
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+ width = 256
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+ depth = 8
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+ window_size = 1
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+ maxout_pieces = 3
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+
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+ [components.trainable_lemmatizer]
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+ factory = "trainable_lemmatizer"
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+ backoff = "orth"
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+ min_tree_freq = 3
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+ overwrite = false
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+ scorer = {"@scorers":"spacy.lemmatizer_scorer.v1"}
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+ top_k = 1
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+ [components.trainable_lemmatizer.model]
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+ rows = [5000,1000,2500,2500]
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+ width = 256
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+ depth = 8
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+ window_size = 1
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+ maxout_pieces = 3
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+
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+ [corpora]
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+
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+ [corpora.dev]
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+ @readers = "spacy.Corpus.v1"
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+ path = ${paths.dev}
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+ gold_preproc = false
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+ max_length = 0
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+ limit = 0
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+ augmenter = null
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+
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+ [corpora.train]
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+ path = ${paths.train}
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+ gold_preproc = false
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+ max_length = 0
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+ augmenter = null
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+
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+ [training]
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+ seed = ${system.seed}
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+ gpu_allocator = ${system.gpu_allocator}
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+ dropout = 0.1
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+ accumulate_gradient = 1
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+ patience = 1600
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+ max_steps = 20000
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+ eval_frequency = 200
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+ get_length = null
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+ [training.batcher.size]
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+ t = 0.0
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+ [training.logger]
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+ @loggers = "spacy.ConsoleLogger.v1"
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+ progress_bar = false
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+
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+ [training.optimizer]
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+ @optimizers = "Adam.v1"
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+ beta1 = 0.9
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+ beta2 = 0.999
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+ L2_is_weight_decay = true
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+ L2 = 0.01
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+ grad_clip = 1.0
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+ use_averages = false
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+ eps = 0.00000001
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+ learn_rate = 0.001
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+ [training.score_weights]
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+ pos_acc = 0.1
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+ morph_acc = 0.1
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+ morph_per_feat = null
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+ lemma_acc = 0.2
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+ dep_uas = 0.1
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+ dep_las = 0.1
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+ ents_per_type = null
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+
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+ [pretraining]
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+
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+ [initialize]
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+ vectors = ${paths.tagger_model}
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+ init_tok2vec = ${paths.init_tok2vec}
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+ vocab_data = null
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+ lookups = null
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+ before_init = null
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+ after_init = null
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+
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+ [initialize.components]
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+
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+ [initialize.tokenizer]
meta.json ADDED
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+ "DET",
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