Research and Implementation English Morphological Analysis and Part-of-Speech Tagging
English Morphological Analysis (MA) and Part-ofSpeech (POS) tagging are key task in natural language processing (NLP) and computational linguistics. This research and application are of great theoretical and practical significance. English Morphological Analysis (MA), Part-of-Speech (POS) tagging and Phrase Dictionary Retrieval (PDR) are essential steps in the course of NLP. And they are difficult in NLP. Their results are decisive to the accuracy of nest processing, such as information searching, information filtration. As separate problems of English, MA, POS, PDR can be considered independent with each other. In a practical research system, however, they are dependent: solution of the prior one forms the base for processing the next one. Considering different features of these problems in this thesis, after a comprehensive study, a divideand-conqueror strategy is proposed and resolves them separately. First, a knowledge-based method is put forward for the solution of MA. The whole MA processing is completed by many subordinate functions dealing with different particular marks of English words. A strategy of combining the word length with statistic enumeration is developed to distinguish between the periods and abbreviations.
Cheng Juan
Normal Education Department Bohai Shipbuilding Vocational College Huludao,China
国际会议
深圳
英文
496-499
2010-04-17（万方平台首次上网日期，不代表论文的发表时间）