@inproceedings{shinnou-1998-revision,
title = "Revision of morphological analysis errors through the person name construction model",
author = "Shinnou, Hiroyuki",
editor = "Farwell, David and
Gerber, Laurie and
Hovy, Eduard",
booktitle = "Proceedings of the Third Conference of the Association for Machine Translation in the Americas: Technical Papers",
month = oct # " 28-31",
year = "1998",
address = "Langhorne, PA, USA",
publisher = "Springer",
url = "https://link.springer.com/chapter/10.1007/3-540-49478-2_36",
pages = "398--407",
abstract = "In this paper, we present the method to automatically revise morphological analysis errors caused by unregistered person names. In order to detect and revise their errors, we propose the Person Name Construction Model for kanji characters composing Japanese names. Our method has the advantage of not using context information, like a suffix, to recognize person names, thus making our method a useful one. Through the experiment, we show that our proposed model is effective.",
}
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<abstract>In this paper, we present the method to automatically revise morphological analysis errors caused by unregistered person names. In order to detect and revise their errors, we propose the Person Name Construction Model for kanji characters composing Japanese names. Our method has the advantage of not using context information, like a suffix, to recognize person names, thus making our method a useful one. Through the experiment, we show that our proposed model is effective.</abstract>
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%0 Conference Proceedings
%T Revision of morphological analysis errors through the person name construction model
%A Shinnou, Hiroyuki
%Y Farwell, David
%Y Gerber, Laurie
%Y Hovy, Eduard
%S Proceedings of the Third Conference of the Association for Machine Translation in the Americas: Technical Papers
%D 1998
%8 oct 28 31
%I Springer
%C Langhorne, PA, USA
%F shinnou-1998-revision
%X In this paper, we present the method to automatically revise morphological analysis errors caused by unregistered person names. In order to detect and revise their errors, we propose the Person Name Construction Model for kanji characters composing Japanese names. Our method has the advantage of not using context information, like a suffix, to recognize person names, thus making our method a useful one. Through the experiment, we show that our proposed model is effective.
%U https://link.springer.com/chapter/10.1007/3-540-49478-2_36
%P 398-407
Markdown (Informal)
[Revision of morphological analysis errors through the person name construction model](https://link.springer.com/chapter/10.1007/3-540-49478-2_36) (Shinnou, AMTA 1998)
ACL