Blending segmentation with tagging in Chinese language corpus processing
COLING '94 Proceedings of the 15th conference on Computational linguistics - Volume 2
SIGHAN '03 Proceedings of the second SIGHAN workshop on Chinese language processing - Volume 17
CJKV Information Processing
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The role of lexical resources is often understated in NLP research. The complexity of Chinese, Japanese and Korean (CJK) poses special challenges to developers of NLP tools, especially in the area of word segmentation (WS), information retrieval (IR), named entity extraction (NER), and machine translation (MT). These difficulties are exacerbated by the lack of comprehensive lexical resources, especially for proper nouns, and the lack of a standardized orthography, especially in Japanese. This paper summarizes some of the major linguistic issues in the development NLP applications that are dependent on lexical resources, and discusses the central role such resources should play in enhancing the accuracy of NLP tools.