Keita Tsuji
Biographic Data
| ID | 9292422 |
|---|---|
| NAME | Keita Tsuji |
| GIVEN NAMES | Keita |
| FAMILY NAME | Tsuji |
| SIGNATURE | TSUJI K |
| AFFILIATIONS | The University of Tokyo |
| ORCID | 0000-0002-3748-6652 |
| VERIFIED | No |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 1998 |
| LATEST PUBLICATION YEAR | 2001 |
| H-INDEX | 0 |
Extracting morpheme pairs from bilingual terminological corpora
An HMM-based method for extracting bilingual morpheme pairs from domain-specific bilingual term lists is reported in this paper. In recent years, many bilingual term lists have become available in electronic form. If the bilingual morpheme pairs in the lists are automatically identified, they can be used as bootstrapping information for the automatic identification of bilingual term pairs in bilingual textual corpora. Or, they can be used for aut…
Recent advances in automatic term recognition
This article provides basic background information on the articles included in this special issue on Japanese term extraction, by (i) clarifying the basic background of research into automatic term recognition, (ii) explaining briefly the ‘contest’-style workshop we organised in 1999, and (iii) briefly summarising the ATR methodologies proposed in the articles, and positioning their ideas, philosophies and methodologies within ATR from a unified …
An analysis of medical synonyms
This paper attempts to clarify the types of terms which are likely to be preferred among synonyms. We regard the term referred to by the other synonyms in a dictionary as the dominant term among synonyms. More than 2,000 pairs of Japanese synonymous terms for diseases are extracted from a standard medical dictionary, and their word-structures are analysed in relation with the preferred and non-preferred terms. It was found that the terms which in…
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An analysis of medical synonyms
This paper attempts to clarify the types of terms which are likely to be preferred among synonyms. We regard the term referred to by the other synonyms in a dictionary as the dominant term among synonyms. More than 2,000 pairs of Japanese synonymous terms for diseases are extracted from a standard medical dictionary, and their word-structures are analysed in relation with the preferred and non-preferred terms. It was found that the terms which in…
Recent advances in automatic term recognition
This article provides basic background information on the articles included in this special issue on Japanese term extraction, by (i) clarifying the basic background of research into automatic term recognition, (ii) explaining briefly the ‘contest’-style workshop we organised in 1999, and (iii) briefly summarising the ATR methodologies proposed in the articles, and positioning their ideas, philosophies and methodologies within ATR from a unified …
Extracting morpheme pairs from bilingual terminological corpora
An HMM-based method for extracting bilingual morpheme pairs from domain-specific bilingual term lists is reported in this paper. In recent years, many bilingual term lists have become available in electronic form. If the bilingual morpheme pairs in the lists are automatically identified, they can be used as bootstrapping information for the automatic identification of bilingual term pairs in bilingual textual corpora. Or, they can be used for aut…
Artificial Intelligence (3 works) · Computer Science (3 works) · Natural language processing (3 works) · Biomedical Text Mining and Ontologies (2 works) · Linguistics (2 works) · Natural Language Processing Techniques (2 works) · Semantic Web and Ontologies (2 works) · Biology (1 work) · Cognitive science (1 work) · CONTEST (1 work)