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In this paper, we demonstrate a picture-book recommender system to promote extensive reading in English. Extensive reading refers to the independent reading of a large quantity of material for information or pleasure and is known to be effective for acquisition of a second language. The recommender system is implemented on an e-book system that shows digital learning materials (e.g., textbooks and slides) on student’s device. Activities on the e-book system are recorded as learning logs. The recommender system suggests picture books in English based on contents of English textbooks. Specifically, we implement two recommendation strategies: (1) term-based recommendation and (2) grammar-based recommendation. In the future, we use learning logs and loan records of picture books to investigate the influence of picture books on acquisition of English and to enable personalized recommendations for each student.

準結晶の磁気的性質をモンテカルロ法によって研究した。フラストレイションを持つ準結晶の場合についてスピングラス類似の振る舞いを観測した。, この論文は国立情報学研究所の電子図書館事業により電子化されました。

This paper reconsiders the task of MRD-based word sense disambiguation, in extending the basic Lesk algorithm to investigate the impact on WSD performance of different tokenisation schemes, scoring mechanisms, methods of gloss extension and filtering methods. In experimentation over the Lexeed Sensebank and the Japanese Senseval-2 dictionary task, we demonstrate that character bigrams with sense-sensitive gloss extension over hyponyms and hypernyms enhances WSD performance. Accepted version

In this paper we introduce a fully automatic method to extend an existing rich bilingual valency dictionary by using information from multiple plain bilingual dictionaries. We evaluate our method using a translation regression test, and get an improvement of 7%. Accepted version

Information on subcategorization and selectional restrictions is important for natural language processing tasks such as deep parsing, rule-based machine translation and automatic summarization. In this paper we present a method of adding detailed entries to a bilingual dictionary, based on information in an existing valency dictionary. The method is based on two assumptions: words with similar meaning have similar subcategorization frames and selectional restrictions; and words with the same translations have similar meanings. Based on these assumptions, new valency entries are constructed from words in a plain bilingual dictionary, using entries with similar source-language meaning and the same target-language translations. We evaluate the effects of various measures of similarity in increasing accuracy. Accepted version