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Takahiro Wakao

dblp:27/6852 · DBLP profile ↗
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4ranked-venue papers
2as first author
0since 2021 · last 1998
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 4 · 2 first-authorGraphics, computer vision, multimedia, augmented reality and games · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Artificial intelligence
1 paper
Information extraction and text analysis · 67% Machine translation · 33%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Natural language and speech › Information extraction and text analysis
lexical semantics
0.011992
Metonymy: Reassessment, Survey of Acceptability, and its Treatment in a Machine Translation System · ACL 1992
Natural language and speech › Information extraction and text analysis › word sense disambiguation
metonymy resolution
0.011992
Metonymy: Reassessment, Survey of Acceptability, and its Treatment in a Machine Translation System · ACL 1992
Natural language and speech › Machine translation › neural machine translation
multilingual neural machine translation
0.011992
Metonymy: Reassessment, Survey of Acceptability, and its Treatment in a Machine Translation System · ACL 1992
YearPublicationVenuePosition
1998 Word sequence pair spotting for synchronization of speech and text in production of closed-caption TV programs for the hearing impaired
Ichiro Maruyama, Yoshiharu Abe, Takahiro Wakao, Eiji Sawamura, Terumasa Ehara, Katsuhiko Shirai
ICSLP3
1996 Evaluation of an Algorithm for the Recognition and Classification of Proper Names
Takahiro Wakao, Robert J. Gaizauskas, Yorick Wilks
COLING1
1994 Reference Resolution Using Semantic Patterns In Japanese Newspaper Articles
Takahiro Wakao
COLING1
1992 Metonymy: Reassessment, Survey of Acceptability, and its Treatment in a Machine Translation System
abstract
In this article we outline a basic approach to treating metonymy properly in a multilingual machine translation system. This is the first attempt at treating metonymy in an machine translation environment. The approach is guided by the differences of acceptability of metonymy which were obtained by our comparative survey among three languages, English, Chinese, and Japanese. The characteristics of the approach are as follows:(1)Influences of the context, individuals, and familiality with metonymy are not used.(2) An actual acceptability of each metonymic expression is not realized directly.(3) Grouping metonymic examples into patterns is determined by the acceptability judgement of the speakers surveyed as well as the analysts' intuition.(4) The analysis and generation components treat metonymy differently using the patterns.(5) The analysis component accepts a wider range of metonymy than the actual results of the survey, and the generation component treats metonymy more strictly than the actual results.We think that the approach is a starting point for more sophisticated approaches to translation in a multilingual machine translation environment.
Shin-ichiro Kamei, Takahiro Wakao
ACL2