Hitoshi Isahara - Academia.edu (original) (raw)
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Papers by Hitoshi Isahara
International Joint Conference on Natural Language Processing, 2008
Meeting of the Association for Computational Linguistics, Jul 5, 2001
Lecture Notes in Computer Science, 2012
This paper presents an overview of our research activities on machine translation conducted at To... more This paper presents an overview of our research activities on machine translation conducted at Toyohashi University of Technology. I focus on how to make machine translation useful for real world business, not mentioning quality improvement of translation engines. I present here three approaches for making machine translation practical; i.e. simplifying the Japanese source text, extracting and listing salient expressions and their equivalents in a document and enhancing the post-editing process. This study is important from both a business perspective and an academic perspective.
IEICE Transactions on Information and Systems, Apr 1, 2002
Pacific Asia Conference on Language, Information, and Computation, Dec 1, 2004
International Joint Conference on Artificial Intelligence, Jan 6, 2007
arXiv (Cornell University), Aug 13, 2002
International Conference on Computational Linguistics, Aug 18, 2008
arXiv (Cornell University), Mar 12, 2001
arXiv (Cornell University), Mar 12, 2001
ABSTRACT We developed a new machine learning method, in which supervised data are borrowed from c... more ABSTRACT We developed a new machine learning method, in which supervised data are borrowed from corpora that do not have annotated tags related to the problems to be solved. We also developed a second machine learning method that uses both borrowed supervised data and normal supervised data. Both methods can be used for any type of ellipsis resolution. We demonstrate the effectiveness of these methods for Japanese case analysis.
Language Resources and Evaluation, May 1, 2006
arXiv (Cornell University), May 2, 2001
arXiv (Cornell University), Dec 5, 2001
International Joint Conference on Natural Language Processing, 2008
Meeting of the Association for Computational Linguistics, Jul 5, 2001
Lecture Notes in Computer Science, 2012
This paper presents an overview of our research activities on machine translation conducted at To... more This paper presents an overview of our research activities on machine translation conducted at Toyohashi University of Technology. I focus on how to make machine translation useful for real world business, not mentioning quality improvement of translation engines. I present here three approaches for making machine translation practical; i.e. simplifying the Japanese source text, extracting and listing salient expressions and their equivalents in a document and enhancing the post-editing process. This study is important from both a business perspective and an academic perspective.
IEICE Transactions on Information and Systems, Apr 1, 2002
Pacific Asia Conference on Language, Information, and Computation, Dec 1, 2004
International Joint Conference on Artificial Intelligence, Jan 6, 2007
arXiv (Cornell University), Aug 13, 2002
International Conference on Computational Linguistics, Aug 18, 2008
arXiv (Cornell University), Mar 12, 2001
arXiv (Cornell University), Mar 12, 2001
ABSTRACT We developed a new machine learning method, in which supervised data are borrowed from c... more ABSTRACT We developed a new machine learning method, in which supervised data are borrowed from corpora that do not have annotated tags related to the problems to be solved. We also developed a second machine learning method that uses both borrowed supervised data and normal supervised data. Both methods can be used for any type of ellipsis resolution. We demonstrate the effectiveness of these methods for Japanese case analysis.
Language Resources and Evaluation, May 1, 2006
arXiv (Cornell University), May 2, 2001
arXiv (Cornell University), Dec 5, 2001