@inproceedings{lange-yang-1999-automatic,
title = "Automatic domain recognition for machine translation",
author = "Lange, Elke D. and
Yang, Jin",
booktitle = "Proceedings of Machine Translation Summit VII",
month = sep # " 13-17",
year = "1999",
address = "Singapore, Singapore",
url = "https://aclanthology.org/1999.mtsummit-1.95",
pages = "641--645",
abstract = "This paper describes an ongoing project which has the goal of improving machine translation quality by increasing knowledge about the text to be translated. A basic piece of such knowledge is the domain or subject field of the text. When this is known, it is possible to improve meaning selection appropriate to that domain. Our current effort consists in automating both recognition of the text{'}s domain and the assignment of domain-specific translations. Results of our implementation show that the approach of using terminology categorization already existing in the machine translation system is very promising.",
}
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<abstract>This paper describes an ongoing project which has the goal of improving machine translation quality by increasing knowledge about the text to be translated. A basic piece of such knowledge is the domain or subject field of the text. When this is known, it is possible to improve meaning selection appropriate to that domain. Our current effort consists in automating both recognition of the text’s domain and the assignment of domain-specific translations. Results of our implementation show that the approach of using terminology categorization already existing in the machine translation system is very promising.</abstract>
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%0 Conference Proceedings
%T Automatic domain recognition for machine translation
%A Lange, Elke D.
%A Yang, Jin
%S Proceedings of Machine Translation Summit VII
%D 1999
%8 sep 13 17
%C Singapore, Singapore
%F lange-yang-1999-automatic
%X This paper describes an ongoing project which has the goal of improving machine translation quality by increasing knowledge about the text to be translated. A basic piece of such knowledge is the domain or subject field of the text. When this is known, it is possible to improve meaning selection appropriate to that domain. Our current effort consists in automating both recognition of the text’s domain and the assignment of domain-specific translations. Results of our implementation show that the approach of using terminology categorization already existing in the machine translation system is very promising.
%U https://aclanthology.org/1999.mtsummit-1.95
%P 641-645
Markdown (Informal)
[Automatic domain recognition for machine translation](https://aclanthology.org/1999.mtsummit-1.95) (Lange & Yang, MTSummit 1999)
ACL