Research and implementation English Morphological Analysis and Part-of-Speech tagging

English Morphological Analysis (MA) and Part-of-Speech (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 next 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 divide-and-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.