@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",
editor = "Calzolari, Nicoletta and
Choukri, Khalid and
Declerck, Thierry and
Goggi, Sara and
Grobelnik, Marko and
Maegaard, Bente and
Mariani, Joseph and
Mazo, Helene and
Moreno, Asuncion and
Odijk, Jan and
Piperidis, Stelios",
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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%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
%Y Calzolari, Nicoletta
%Y Choukri, Khalid
%Y Declerck, Thierry
%Y Goggi, Sara
%Y Grobelnik, Marko
%Y Maegaard, Bente
%Y Mariani, Joseph
%Y Mazo, Helene
%Y Moreno, Asuncion
%Y Odijk, Jan
%Y Piperidis, Stelios
%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