Building a parallel corpus of German/Swiss German Sign Language train announcements

被引：1
作者：
Ebling, Sarah [1 ]
机构：
[1] Univ Zurich, Inst Computat Linguist, Binzmuehlestr 14, CH-8050 Zurich, Switzerland
来源：
INTERNATIONAL JOURNAL OF CORPUS LINGUISTICS | 2016年 / 21卷 / 01期
关键词：
parallel corpus; sign language machine translation; sign language animation; Swiss German Sign Language;
D O I：
10.1075/ijcl.21.1.06ebl
中图分类号：
H0 [语言学];
学科分类号：
030303 ; 0501 ; 050102 ;
摘要：
We present a parallel corpus of German/Swiss German Sign Language train announcements. The corpus is used in a statistical machine translation system that translates from German to Swiss German Sign Language. The output of the translation system is then passed on to an animation system, the result being a sign language avatar representation on a mobile phone. Building the parallel corpus consisted of four steps: translating the written German train announcements into Swiss German Sign Language glosses, signing the announcements in front of a camera on the basis of the gloss transcriptions, notating the signs in the video recordings in a form-based sign language notation system, and adding information about non-manual features. The resulting corpus contains 3,241 sentence pairs, which makes it a large parallel corpus involving sign language.
引用
收藏
页码：116 / 129
页数：14
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