<jupyter_start><jupyter_text>Thai2fitAugText Augment using word2vec from Thai2FitGitHub: https://github.com/cstorm125/thai2fit<jupyter_code>from thaitextaug.word2vec import Thai2fitAug
text = "เราเรียนอยู่ที่มหาวิทยาลัยขอนแก่นวิทยาเขตหนองคาย"
a=Thai2fitAug()
a.tokenizer(text)
a.augment(text, n_sent=3, p = 0.5)<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.12903225806451613, 'fraction_numerical': 0.03812316715542522, 'mean_word_length': 10.793103448275861, 'pattern_counts': {'":': 0, '<': 5, '<?xml version=': 0, '>': 5, 'https://': 1, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
{'chain_length': '1', 'dir': 'jupyter-structured-clean-dedup', 'id': '155718', 'license': 'Apache-2.0', 'n_tokens_mistral': 181, 'n_tokens_neox': 173, 'n_words': 18, 'path': 'notebooks/Thai2fitAug.ipynb', 'repo_name': 'wannaphong/thaitextaug', 'size': '341'}