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Language Technology Platform

Project description

LTP VERSION CODE SIZE CONTRIBUTORS LAST COMMIT Documentation Status PyPI Downloads

LTP 4

LTP(Language Technology Platform) 提供了一系列中文自然语言处理工具,用户可以使用这些工具对于中文文本进行分词、词性标注、句法分析等等工作。

If you use any source codes included in this toolkit in your work, please kindly cite the following paper. The bibtex are listed below:

@article{che2020n,
  title={N-LTP: A Open-source Neural Chinese Language Technology Platform with Pretrained Models},
  author={Che, Wanxiang and Feng, Yunlong and Qin, Libo and Liu, Ting},
  journal={arXiv preprint arXiv:2009.11616},
  year={2020}
}

快速使用

from ltp import LTP

ltp = LTP()  # 默认加载 Small 模型
seg, hidden = ltp.seg(["他叫汤姆去拿外衣。"])
pos = ltp.pos(hidden)
ner = ltp.ner(hidden)
srl = ltp.srl(hidden)
dep = ltp.dep(hidden)
sdp = ltp.sdp(hidden)

详细说明

Language Bindings

  • C++
  • Rust
  • Java
  • Python Rebinding

libltp

指标

模型 分词 词性 命名实体 语义角色 依存句法 语义依存 速度(句/S)
LTP 4.0 (Base) 98.7 98.5 95.4 80.6 89.5 75.2 39.12
LTP 4.0 (Base1) 99.22 98.73 96.39 79.28 89.57 76.57 --.--
LTP 4.0 (Base2) 99.18 98.69 95.97 79.49 90.19 76.62 --.--
LTP 4.0 (Small) 98.4 98.2 94.3 78.4 88.3 74.7 43.13
LTP 4.0 (Tiny) 96.8 97.1 91.6 70.9 83.8 70.1 53.22

模型下载地址

模型算法

  • 分词: Electra Small1 + Linear
  • 词性: Electra Small + Linear
  • 命名实体: Electra Small + Relative Transformer2 + Linear
  • 依存句法: Electra Small + BiAffine + Eisner3
  • 语义依存: Electra Small + BiAffine
  • 语义角色: Electra Small + BiAffine + CRF

构建 Wheel 包

python setup.py sdist bdist_wheel
python -m twine upload dist/*

作者信息

开源协议

  1. 语言技术平台面向国内外大学、中科院各研究所以及个人研究者免费开放源代码,但如上述机构和个人将该平台用于商业目的(如企业合作项目等)则需要付费。
  2. 除上述机构以外的企事业单位,如申请使用该平台,需付费。
  3. 凡涉及付费问题,请发邮件到 car@ir.hit.edu.cn 洽商。
  4. 如果您在 LTP 基础上发表论文或取得科研成果,请您在发表论文和申报成果时声明“使用了哈工大社会计算与信息检索研究中心研制的语言技术平台(LTP)”. 同时,发信给car@ir.hit.edu.cn,说明发表论文或申报成果的题目、出处等。

脚注

  • 1:: Chinese-ELECTRA
  • 2:: [TENER: Adapting Transformer Encoder for Named Entity Recognition](https://arxiv.org/abs/1911.04474)
  • 3:: [A PyTorch implementation of "Deep Biaffine Attention for Neural Dependency Parsing"](https://github.com/yzhangcs/parser)

Project details


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Files for ltp, version 4.1.4
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Filename, size ltp-4.1.4-py3-none-any.whl (94.1 kB) File type Wheel Python version py3 Upload date Hashes View
Filename, size ltp-4.1.4.tar.gz (58.4 kB) File type Source Python version None Upload date Hashes View

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