{"id":50913944,"url":"https://github.com/nguyendat-bit/vietokenizer","last_synced_at":"2026-06-16T13:00:55.472Z","repository":{"id":61124733,"uuid":"546797022","full_name":"Nguyendat-bit/VieTokenizer","owner":"Nguyendat-bit","description":"Vietnamese Tokenizer package based on deeplearning methods","archived":false,"fork":false,"pushed_at":"2022-10-13T17:27:14.000Z","size":14,"stargazers_count":2,"open_issues_count":0,"forks_count":1,"subscribers_count":1,"default_branch":"main","last_synced_at":"2026-06-15T02:33:08.388Z","etag":null,"topics":["nlp","tensorflow","tensorflow2","tokenizer","vietnamese-nlp","vietnamese-tokenizer","word-segmentation"],"latest_commit_sha":null,"homepage":"","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"apache-2.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/Nguyendat-bit.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null}},"created_at":"2022-10-06T16:57:40.000Z","updated_at":"2023-10-08T13:01:44.000Z","dependencies_parsed_at":"2022-10-11T10:58:16.077Z","dependency_job_id":null,"html_url":"https://github.com/Nguyendat-bit/VieTokenizer","commit_stats":null,"previous_names":[],"tags_count":2,"template":false,"template_full_name":null,"purl":"pkg:github/Nguyendat-bit/VieTokenizer","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Nguyendat-bit%2FVieTokenizer","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Nguyendat-bit%2FVieTokenizer/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Nguyendat-bit%2FVieTokenizer/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Nguyendat-bit%2FVieTokenizer/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Nguyendat-bit","download_url":"https://codeload.github.com/Nguyendat-bit/VieTokenizer/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Nguyendat-bit%2FVieTokenizer/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":34406824,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-05-26T15:22:16.424Z","status":"online","status_checked_at":"2026-06-16T02:00:06.860Z","response_time":126,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["nlp","tensorflow","tensorflow2","tokenizer","vietnamese-nlp","vietnamese-tokenizer","word-segmentation"],"created_at":"2026-06-16T13:00:31.753Z","updated_at":"2026-06-16T13:00:55.465Z","avatar_url":"https://github.com/Nguyendat-bit.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# VieTokenizer\n\nThis model architecture that we use is a simple bi-lstm network trained by unsupervised learning on a large pre-segmented dataset. The model will predict if serial word is 1 and non-serial is 0, for example, \"Tôi tên là Nguyễn Tiến Đạt\" will be equivalent to a sequence of numbers with both zero and one being [0, 0, 0, 0, 1, 1]. \n\n## Installation 🎉\n- This repository is tested on python 3.7+ and Tensorflow 2.8+\n- VieTokenizer can be installed using pip as follows:\n```\npip install vietokenizer 🍰\n```\n- VieTokenizer can also be installed from source with the following commands: \n```\ngit clone https://github.com/Nguyendat-bit/VieTokenizer\ncd VieTokenizer\npip install -e . \n```\n## Usage 🔥\n```python\n\u003e\u003e\u003e import vietokenizer\n\u003e\u003e\u003e tokenizer= vietokenizer.vntokenizer()\n\u003e\u003e\u003e tokenizer('Tôi tên là Nguyễn Tiến Đạt, hiện là sinh viên Đại học CN GTVT tại Hà Nội.')\n'Tôi tên là Nguyễn_Tiến_Đạt , hiện là sinh_viên Đại_học CN GTVT tại Hà_Nội .'\n\u003e\u003e\u003e tokenizer('Kim loại nặng thường được định nghĩa là kim loại có khối lượng riêng, khối lượng nguyên tử hoặc số hiệu nguyên tử lớn.')\n'Kim_loại nặng thường được định_nghĩa là kim_loại có khối_lượng riêng , khối_lượng nguyên_tử hoặc số_hiệu nguyên_tử lớn .'\n```\n\n## License\n[Apache 2.0 License](https://github.com/Nguyendat-bit/VieTokenizer). \u003cbr\u003e\nCopyright \u0026copy; 2022 [Nguyễn Tiến Đạt](https://github.com/Nguyendat-bit). All rights reserved.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fnguyendat-bit%2Fvietokenizer","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fnguyendat-bit%2Fvietokenizer","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fnguyendat-bit%2Fvietokenizer/lists"}