Kenji Ono


2003

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Translation of news headlines
Kenji Ono
Proceedings of Machine Translation Summit IX: Papers

Machine-Translation of news headlines is difficult since the sentences are fragmentary and abbreviations and acronyms of proper names are frequently used. Another difficulty is that, since the headline comes at the top of a news article, the context information useful to disambiguate the sense of words and to determine their translation(target word) is not available. This paper proposes a new approach to translating English news headline. In this approach, the abbreviations and acronyms in the headlines are complemented with their coreference in the lead of the article. Moreover, the target word selection is performed by referring to the translation of similar news articles retrieved from a parallel corpus. In the experiment, 100 English headlines are translated into Japanese using a corpus containing 30,000 English-Japanese article pairs, resulting in a 17 % improvement in the target words and a 21 % improvement in the style of translation.

2000

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Automatic Refinement of a POS Tagger Using a Reliable Parser and Plain Text Corpora
Hideki Hirakawa | Kenji Ono | Yumiko Yoshimura
COLING 2000 Volume 1: The 18th International Conference on Computational Linguistics

1998

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An Experiment in Hybrid Dictionary and Statistical Sentence Alignment
Nigel Collier | Kenji Ono | Hideki Hirakawa
36th Annual Meeting of the Association for Computational Linguistics and 17th International Conference on Computational Linguistics, Volume 1

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An Experiment in Hybrid Dictionary and Statistical Sentence Alignment
Nigel Collier | Kenji Ono | Hideki Hirakawa
COLING 1998 Volume 1: The 17th International Conference on Computational Linguistics

1994

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Abstract Generation Based on Rhetorical Structure Extraction
Kenji Ono | Kazuo Sumita | Seiji Miike
COLING 1994 Volume 1: The 15th International Conference on Computational Linguistics