Name Translation based on Fine-grained Named Entity Recognition in a Single Language

被引：0

作者：

Sadamitsu, Kugatsu ^{[1
]}

Saito, Itsumi ^{[1
]}

Katayama, Taichi ^{[1
]}

Asano, Hisako ^{[1
]}

Matsuo, Yoshihiro ^{[1
]}

机构：

[1] NTT Corp, NTT Media Intelligence Labs, 1-1 Hikari No Oka, Yokosuka, Kanagawa 2390847, Japan

来源：

LREC 2016 - TENTH INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION | 2016年

关键词：

Statistical Machine Translation; Extended Named Entity; Bilingual Named Entity Recognition;

D O I：

暂无

中图分类号：

H [语言、文字];

学科分类号：

05 ;

摘要：

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.

引用

页码：613 / 619

页数：7

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