Papers by Charles Lam

2 papers
Multi-Tiered Cantonese Word Segmentation (2024.lrec-main)

Copied to clipboard

Challenge: Existing work on word segmentation for Chinese does not have conventional word boundaries as English does.
Approach: They propose a linguistically motivated, multi-tiered word segmentation system for Cantonese . they propose linguisticly motivated, linguistic-motivated system that can cater to different needs .
Outcome: The proposed system can be adapted to Cantonese corpus data.
PyCantonese: Cantonese Linguistics and NLP in Python (2022.lrec-1)

Copied to clipboard

Challenge: a limited number of Cantonese-specific datasets are available for PyCantones.
Approach: They introduce PyCantonese, an open-source Python library for Cantonesi linguistics and natural language processing.
Outcome: The proposed library is open-source and available for free for all purposes, including commercial ones.

What is GenGO?

GenGO is an NLP powered publication search system. It currenctly indexes 30k+ papers from ACL Anthology, and implements multi-aspect summarization, semantic search, and more!

Information

About
Limitations