{ "info": { "author": "NokCut", "author_email": "wannaphong@kkumail.com", "bugtrack_url": null, "classifiers": [ "Development Status :: 5 - Production/Stable", "Intended Audience :: Developers", "License :: OSI Approved :: Apache Software License", "Natural Language :: Thai", "Programming Language :: Python :: 3", "Topic :: Text Processing :: Linguistic" ], "description": "# NokCut\nThai Word Segmentation using TCC + Bidirectional RNNs\n\nCredit code from [A Beginner's Guide to Deep NLP with PyTorch - Dr. Prachya Boonkwan](https://tinyurl.com/y7vwlvur)\n\nColab Notebook : https://colab.research.google.com/drive/1WS08VsjlZGAmCGsoI7AlRm-Do3zo-b-g\n\nTrain by BEST I Corpus Training set. (90% training , 10% test)\n```\nep 6\nloss: 0.017879242024514966\nf1 : 98.47012481095481\n```\n\n\nF1 From BEST I Corpus Test set\n```\nF-measure: 96.94929\nRecall: 122271.00000/125850.00000 = 97.15614\n\nPrecision: 122271.00000/126387.00000 = 96.74333\n\nNumber of incorrect : 3579.00000 words\n```\n\nMr. Wannaphong Phatthiyaphaibun\nwannaphong@kkumail.com", "description_content_type": "text/markdown", "docs_url": null, "download_url": "", "downloads": { "last_day": -1, "last_month": -1, "last_week": -1 }, "home_page": "https://github.com/wannaphongcom/NokCut/", "keywords": "nokcut", "license": "Apache Software License 2.0", "maintainer": "", "maintainer_email": "", "name": "nokcut", "package_url": "https://pypi.org/project/nokcut/", "platform": "", "project_url": "https://pypi.org/project/nokcut/", "project_urls": { "Homepage": "https://github.com/wannaphongcom/NokCut/" }, "release_url": "https://pypi.org/project/nokcut/0.4/", "requires_dist": null, "requires_python": ">=3.5", "summary": "Thai Word Segmentation using TCC + Bidirectional RNNs", "version": "0.4" }, "last_serial": 4598351, "releases": { "0.4": [ { "comment_text": "", "digests": { "md5": "1137ce8459f8390d03121c848f363790", "sha256": "6687f5292a4031e13688f220cc4f79770b12d86773842c5fb4d23aee1d797419" }, "downloads": -1, "filename": "nokcut-0.4-py3-none-any.whl", "has_sig": false, "md5_digest": "1137ce8459f8390d03121c848f363790", "packagetype": "bdist_wheel", "python_version": "py3", "requires_python": ">=3.5", "size": 5927581, "upload_time": "2018-12-14T07:38:21", "url": "https://files.pythonhosted.org/packages/fd/2c/7b46a8a468e6e9dab19c97c738c6c1e52a3a1995cc0997aa2b36f867461e/nokcut-0.4-py3-none-any.whl" } ] }, "urls": [ { "comment_text": "", "digests": { "md5": "1137ce8459f8390d03121c848f363790", "sha256": "6687f5292a4031e13688f220cc4f79770b12d86773842c5fb4d23aee1d797419" }, "downloads": -1, "filename": "nokcut-0.4-py3-none-any.whl", "has_sig": false, "md5_digest": "1137ce8459f8390d03121c848f363790", "packagetype": "bdist_wheel", "python_version": "py3", "requires_python": ">=3.5", "size": 5927581, "upload_time": "2018-12-14T07:38:21", "url": "https://files.pythonhosted.org/packages/fd/2c/7b46a8a468e6e9dab19c97c738c6c1e52a3a1995cc0997aa2b36f867461e/nokcut-0.4-py3-none-any.whl" } ] }