@inproceedings{sadamitsu-etal-2016-name,
title = "Name Translation based on Fine-grained Named Entity Recognition in a Single Language",
author = "Sadamitsu, Kugatsu and
Saito, Itsumi and
Katayama, Taichi and
Asano, Hisako and
Matsuo, Yoshihiro",
booktitle = "Proceedings of the Tenth International Conference on Language Resources and Evaluation ({LREC}'16)",
month = may,
year = "2016",
address = "Portoro{\v{z}}, Slovenia",
publisher = "European Language Resources Association (ELRA)",
url = "https://aclanthology.org/L16-1097",
pages = "613--619",
abstract = "We propose named entity abstraction methods with fine-grained named entity labels for improving statistical machine translation (SMT). The methods are based on a bilingual named entity recognizer that uses a monolingual named entity recognizer with transliteration. Through experiments, we demonstrate that incorporating fine-grained named entities into statistical machine translation improves the accuracy of SMT with more adequate granularity compared with the standard SMT, which is a non-named entity abstraction method.",
}
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<abstract>We propose named entity abstraction methods with fine-grained named entity labels for improving statistical machine translation (SMT). The methods are based on a bilingual named entity recognizer that uses a monolingual named entity recognizer with transliteration. Through experiments, we demonstrate that incorporating fine-grained named entities into statistical machine translation improves the accuracy of SMT with more adequate granularity compared with the standard SMT, which is a non-named entity abstraction method.</abstract>
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%0 Conference Proceedings
%T Name Translation based on Fine-grained Named Entity Recognition in a Single Language
%A Sadamitsu, Kugatsu
%A Saito, Itsumi
%A Katayama, Taichi
%A Asano, Hisako
%A Matsuo, Yoshihiro
%S Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC’16)
%D 2016
%8 may
%I European Language Resources Association (ELRA)
%C Portorož, Slovenia
%F sadamitsu-etal-2016-name
%X We propose named entity abstraction methods with fine-grained named entity labels for improving statistical machine translation (SMT). The methods are based on a bilingual named entity recognizer that uses a monolingual named entity recognizer with transliteration. Through experiments, we demonstrate that incorporating fine-grained named entities into statistical machine translation improves the accuracy of SMT with more adequate granularity compared with the standard SMT, which is a non-named entity abstraction method.
%U https://aclanthology.org/L16-1097
%P 613-619
Markdown (Informal)
[Name Translation based on Fine-grained Named Entity Recognition in a Single Language](https://aclanthology.org/L16-1097) (Sadamitsu et al., LREC 2016)
ACL