Artificial Intelligence, Machine Learning, Computer Vision, Natural language processing
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- articleMarch 2004
Accessor variety criteria for Chinese word extraction
Computational Linguistics (COLI), Volume 30, Issue 1March 2004, pp 75–93https://doi.org/10.1162/089120104773633394We are interested in the problem of word extraction from Chinese text collections. We define a word to be a meaningful string composed of several Chinese characters. For example, 'percent', and, 'more and more', are not recognized as traditional Chinese ...
- articleNovember 1995
The EDR electronic dictionary
Communications of the ACM (CACM), Volume 38, Issue 11Nov. 1995, pp 42–44https://doi.org/10.1145/219717.219752Natural language processing will grow into a vital industrial technology in the next five to 10 years. But this growth depends on the development of large linguistic databases that capture natural language phenomena [1, 2]. Another important theme for ...
- articleDecember 1992
Techniques for automatically correcting words in text
ACM Computing Surveys (CSUR), Volume 24, Issue 4Dec. 1992, pp 377–439https://doi.org/10.1145/146370.146380Research aimed at correcting words in text has focused on three progressively more difficult problems:(1) nonword error detection; (2) isolated-word error correction; and (3) context-dependent work correction. In response to the first problem, efficient ...
- articleAugust 1990
Knowledge and natural language processing
Communications of the ACM (CACM), Volume 33, Issue 8Aug. 1990, pp 50–71https://doi.org/10.1145/79173.79177KBNL is a knowledge-based natural language processing system that is novel in several ways, including the clean separation it enforces between linguistic knowledge and world knowledge, and its use of knowledge to aid in lexical acquisition. Applications ...
