UdS-DFKI Participation at WMT 2019: Low-Resource (en-gu) and Coreference-Aware (en-de) Systems

被引：0

作者：

Espana-Bonet, Cristina ^{[1
,2
]}

Ruiter, Dana ^{[1
]}

van Genabith, Josef ^{[1
,2
]}

机构：

[1] Saarland Univ, Saarbrucken, Germany

[2] DFKI GmbH, Kaiserslautern, Germany

来源：

FOURTH CONFERENCE ON MACHINE TRANSLATION (WMT 2019) | 2019年

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper describes the UdS-DFKI submission to the WMT2019 news translation task for Gujarati-English (low-resourced pair) and German-English (document-level evaluation). Our systems rely on the on-line extraction of parallel sentences from comparable corpora for the first scenario and on the inclusion of coreference-related information in the training data in the second one.

引用

页码：183 / 190

页数：8