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Cooperation between transfer and analysis in example-based framework

Authors:

Osamu Furuse,

Hitoshi IidaAuthors Info & Claims

COLING '92: Proceedings of the 14th conference on Computational linguistics - Volume 2

Pages 645 - 651

https://doi.org/10.3115/992133.992170

Published: 23 August 1992 Publication History

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Abstract

Transfer-Driven Machine Translation (TDMT) is presented as a method which drives the translation processes according to the nature of the input. In TDMT, transfer knowledge is the central knowledge of translation, and various kinds and levels of knowledge are cooperatively applied to input sentences. TDMT effectively utilizes an example-based framework for transfer and analysis knowledge. A consistent framework of examples makes the cooperation between transfer and analysis effective, and efficient translation is achieved. The TDMT prototype system, which translates Japanese spoken dialogs into English, has shown great promise.

References

[1]

{Furuse and Iida 92} Furuse, O., and Iida, H.: An Example-based Method for Transfer-driven Machine Translation, Proc. of the Fourth International Conference on Theoretical and Methodological Issues in Machine Translation, (1992).

Google Scholar

[2]

{Ikehara et al. 87} Ikehara, S., Miyazaki, M., Shirai, S., and Hayashi, Y: Speaker's Recognition and Multilevel-Translating Method Based on It, Trans. IPS Japan Vol. 28 No. 12., IPSJ, pp. 1269--1279, (1987), (in Japanese).

Google Scholar

[3]

{Nagao 84} Nagao, M.: A framework of a mechanical translation between Japanese and English by analogy principle, in Artificial and Human Intelligence, ed. Elithorn, A. and Banerji, R., North-Holland, pp. 173--180, (1984).

Digital Library

Google Scholar

[4]

{Ohno and Hamanishi 84} Ohno, S. and Hamanishi M.: Ruigo-Shin-Jiten, Kadokawa, (1984), (in Japanese).

Google Scholar

[5]

{Sadler 89} Sadler, V.: Working with Analogical Semantics, Foris Publications (1989).

Google Scholar

[6]

{Sato and Nagao 90} Sato, S. and Nagao M.: Toward Memory-Based Translation, Proc. of Coling '90, (1990).

Digital Library

Google Scholar

[7]

{Sumita and Iida 91} Sumita, E., and Iida, H.: Experiments and Prospects of Example-based Machine Translation, Proc. of the 29th Annual Meeting of the Association for Computational Linguistics, (1991).

Digital Library

Google Scholar

[8]

{Tsujii and Fujita 91} Tsujii, J. and Fujita, K.: Lexical Transfer based on Bi-Lingual Signs -Towards Interaction during Transfer,: Proc. of the 5th Conference of the European Chapter of the Association for Computational Linguistics, (1991).

Digital Library

Google Scholar

Cited By

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Winiwarter W(2004)Incremental learning of transfer rules for customized machine translationProceedings of the 15th international conference on Applications of Declarative Programming and Knowledge Management, and 18th international conference on Workshop on Logic Programming10.1007/11415763_4(47-64)Online publication date: 4-Mar-2004
https://dl.acm.org/doi/10.1007/11415763_4
Cicekli IGüvenir H(2001)Learning Translation Templates from Bilingual Translation ExamplesApplied Intelligence10.1023/A:101127070848715:1(57-76)Online publication date: 8-Jun-2001
https://dl.acm.org/doi/10.1023/A%3A1011270708487
Somers H(1999)Review ArticleMachine Translation10.1023/A:100810931273014:2(113-157)Online publication date: 1-Jun-1999
https://dl.acm.org/doi/10.1023/A%3A1008109312730
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Cooperation between transfer and analysis in example-based framework
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Published In

COLING '92: Proceedings of the 14th conference on Computational linguistics - Volume 2

August 1992

433 pages

Program Chair:
Antonio Zampolli
Pisa

Publisher

Association for Computational Linguistics

United States

Publication History

Published: 23 August 1992

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Winiwarter W(2004)Incremental learning of transfer rules for customized machine translationProceedings of the 15th international conference on Applications of Declarative Programming and Knowledge Management, and 18th international conference on Workshop on Logic Programming10.1007/11415763_4(47-64)Online publication date: 4-Mar-2004
https://dl.acm.org/doi/10.1007/11415763_4
Cicekli IGüvenir H(2001)Learning Translation Templates from Bilingual Translation ExamplesApplied Intelligence10.1023/A:101127070848715:1(57-76)Online publication date: 8-Jun-2001
https://dl.acm.org/doi/10.1023/A%3A1011270708487
Somers H(1999)Review ArticleMachine Translation10.1023/A:100810931273014:2(113-157)Online publication date: 1-Jun-1999
https://dl.acm.org/doi/10.1023/A%3A1008109312730
Takeda KJoshi APalmer M(1996)Pattern-based context-free grammars for machine translationProceedings of the 34th annual meeting on Association for Computational Linguistics10.3115/981863.981883(144-151)Online publication date: 24-Jun-1996
https://dl.acm.org/doi/10.3115/981863.981883
SUMITA ENISIYAMA NIIDA H(1994)The relationship between architectures and example-retrieval timesProceedings of the Twelfth AAAI National Conference on Artificial Intelligence10.5555/2891730.2891804(478-483)Online publication date: 1-Aug-1994
https://dl.acm.org/doi/10.5555/2891730.2891804
Furuse OIida HNagao MWilks Y(1994)Constituent boundary parsing for example-based machine translationProceedings of the 15th conference on Computational linguistics - Volume 110.3115/991886.991902(105-111)Online publication date: 5-Aug-1994
https://dl.acm.org/doi/10.3115/991886.991902
Cranias LPapageorgiou HPiperidis SNagao MWilks Y(1994)A matching technique in Example-Based Machine TranslationProceedings of the 15th conference on Computational linguistics - Volume 110.3115/991886.991901(100-104)Online publication date: 5-Aug-1994
https://dl.acm.org/doi/10.3115/991886.991901
Sobashima YFuruse OAkamine SKawai JIida HNagao MWilks Y(1994)A bidirectional, Transfer-Driven Machine Translation system for spoken dialoguesProceedings of the 15th conference on Computational linguistics - Volume 110.3115/991886.991894(64-68)Online publication date: 5-Aug-1994
https://dl.acm.org/doi/10.3115/991886.991894
Watanabe HNagao MWilks Y(1994)A method for distinguishing exceptional and general examples in example-based transfer systemsProceedings of the 15th conference on Computational linguistics - Volume 110.3115/991886.991890(39-44)Online publication date: 5-Aug-1994
https://dl.acm.org/doi/10.3115/991886.991890
Akamine SFuruse OIida HJacobs P(1994)Integration of example-based transfer and rule-based generationProceedings of the fourth conference on Applied natural language processing10.3115/974358.974407(196-197)Online publication date: 13-Oct-1994
https://dl.acm.org/doi/10.3115/974358.974407
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