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IBM Journal of Research and Development  
Volume 32, Number 2, Page 238 (1988)
Natural Language and Computing
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A Japanese sentence analyzer

by N. Maruyama, M. Morohashi, S. Umeda, E. Sumita
This paper presents the design of a broad-coverage Japanese sentence analyzer which can be part of various Japanese processing systems. The sentence analyzer comprises two components: the lexical analyzer and the syntactic analyzer. Lexical analysis, i.e., segmenting a sentence into words, is a formidable problem for a language like Japanese, because it has no explicit delimiters (blanks) between written words. In practical applications, this task is made more difficult by the occurrence of words not listed in a dictionary. We have developed a five-layered knowledge source and used it successfully in the lexical analyzer, resulting in very accurate segmentation, even in cases where there are unknown words. The syntactic analyzer has two modules: One consists of an augmented context-free grammar and the PLNLP parser; the other is the dependency structure constructor, which converts the phrase structures to dependency structures. The dependency structures represent various key linguistic relations in a more direct way. The dependency structures have semantically important information such as tense, aspect, and modality, as well as preference scores reflecting relative ranking of parse acceptability.
Related Subjects: Data, structures and accessing; Linguistics; Natural language processing