wangjksjtu/multi-embedding-cws
Multiple Character Embeddings for Chinese Word Segmentation, ACL 2019
This project helps anyone working with Chinese text data to accurately break down sentences into individual words, a crucial first step for many analytical tasks. It takes raw Chinese text as input and outputs segmented text, improving the precision of tasks like search, sentiment analysis, or machine translation. This is for data analysts, linguists, or NLP practitioners who need highly accurate Chinese word segmentation.
No commits in the last 6 months.
Use this if you need state-of-the-art Chinese word segmentation for various NLP applications and want to leverage character features like Pinyin Romanization and Wubi Input for improved accuracy.
Not ideal if your primary need is for languages other than Chinese or if you are looking for a pre-packaged, easy-to-deploy segmentation service without needing to train models yourself.
Stars
17
Forks
5
Language
Python
License
MIT
Category
Last pushed
Sep 07, 2019
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/embeddings/wangjksjtu/multi-embedding-cws"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
MilaNLProc/contextualized-topic-models
A python package to run contextualized topic modeling. CTMs combine contextualized embeddings...
vinid/cade
Compass-aligned Distributional Embeddings. Align embeddings from different corpora
spcl/ncc
Neural Code Comprehension: A Learnable Representation of Code Semantics
criteo-research/CausE
Code for the Recsys 2018 paper entitled Causal Embeddings for Recommandation.
vintasoftware/entity-embed
PyTorch library for transforming entities like companies, products, etc. into vectors to support...