Chinese word segmentation without using lexicon and hand-crafted training data
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 2
Accessor variety criteria for Chinese word extraction
Computational Linguistics
Statistically-enhanced new word identification in a rule-based Chinese system
CLPW '00 Proceedings of the second workshop on Chinese language processing: held in conjunction with the 38th Annual Meeting of the Association for Computational Linguistics - Volume 12
The first international Chinese word segmentation Bakeoff
SIGHAN '03 Proceedings of the second SIGHAN workshop on Chinese language processing - Volume 17
Chinese term extraction using minimal resources
COLING '08 Proceedings of the 22nd International Conference on Computational Linguistics - Volume 1
| Hi-index | 0.00 |
This article presents an original lexical unit extraction system for Chinese. The method is based on an incremental process driven by an association score featuring a minimal resources statistically aided linguistic approach. We also introduce a linguistics-based lexical unit definition and use it to describe an evaluation protocol dedicated to the task. The experimental results on a domain specific corpus show that the method performs better than other approaches. The extraction results, evaluated on a random sample of the working corpus, show a recall of 68.4% and precision of 37.1%.