Intro

An open-source neural language technology platform supporting six fundamental Chinese NLP tasks:

• lexical analysis (Chinese word segmentation, part-of-speech tagging, and named entity recognition)
• syntactic parsing (dependency parsing)
• semantic parsing (semantic dependency parsing and semantic role labeling).

Quickstart

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)

Performance

Model	CWS	POS	NER	SRL	DEP	SDP	Speed(Sents/S)
LTP 4.0 (Base)	98.70	98.50	95.4	80.60	89.50	75.20	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)	98.40	98.20	94.30	78.40	88.30	74.70	43.13
LTP 4.0 (Tiny)	96.80	97.10	91.60	70.90	83.80	70.10	53.22

Cite

@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}
}