期刊名称：International Journal of Computer Science Issues
印刷版ISSN：1694-0784
电子版ISSN：1694-0814
出版年度：2011
卷号：8
期号：5
出版社：IJCSI Press
摘要：Natural language processing (NLP) began as a branch of Artificial Intelligence is a field of computer science and linguistics and is concerned with interaction between human language and computer. Major tasks of NLP such as Machine Translation (MT), Information Retrieval (IR) and Summarization require extensive knowledge of the language for the effective identification of semantic information in the text. Meaning or semantics of a text is mainly decided by the named entities which are the role carrying agents in a text. The system presented here is a Named Entity (NE) Identifier created using Statistical methods based on linguistic grammar principles. Malayalam NER is a difficult task as each word of named entity has no specific feature such as Capitalization feature in English. NERs in other languages are not suitable for Malayalam language since its morphology, syntax and lexical semantics is different from them. For testing this system, documents from well known Malayalam news papers and magazines containing passages from five different fields are selected. Experimental results show that the average precision recall and F-measure values are 85.52%, 86.32% and 85.61% respectively.
关键词：Malayalam compound word; Finite state Transducer; Extended Conditional Random Field; Feature vector.
