Kenji Yoshimura

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We report that a proper employment of MWEs concerned enables us to put forth a tractable framework, which is based on a multiple nesting of semantic operations, for the processing of non-inferential, Non-propositional Contents (NPCs) of natural Japanese sentences. Our framework is characterized by its broad syntactic and semantic coverage, enabling us to(More)
It is important for future NLP systems to formulate the semantic equivalence (and more generally, the semantic similarity) of natural language expressions. In particular, paraphrasing, full text information retrieval, example-based MT and document compression technology require the effective equivalence criterion for linguistic expressions. In this paper,(More)
This paper I)roI)oses two new methods to identify the correct meaning of Japanese honmnyms in text based on tile iloun:verb co-occIlrrenc(~, ill a sentence which (:an be obtained easily from corpora. The first method uses the near co-occurrence data sets, which are constructed from the above (:o-occurrence relation, to select the most fe~Lsible word among(More)
abstract Word processors or computers used in Japan employ Japanese input method through keyboard stroke combined with Kana (phonetic) character to Kanji (ideographic, Chinese) character conversion technology. The key factor of Kana-to-Kanji conversion technology is how to raise the accuracy of the conversion through the homophone processing, since we have(More)
A bstract Col l ocat i ons, t he com bi nat i on of speci fi c w ords are qui t e useful l i ngui sti c resources for N LP i n general. The purpose of t hi s paper i s t o show t hei r useful ness, exem pl i fyi ng an appl i cat i on t o K anj i charact er deci sion processes for Japanese w ord processors. U nl i ke recent t ri al s of aut om at i c ext(More)