An Annotated Japanese Sign Language Corpus
An Annotated Japanese Sign Language Corpus
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发表时间：
2002-05
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通讯作者：
A. Koizumi;H. Sagawa;M. Takeuchi
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作者：
A. Koizumi;H. Sagawa;M. Takeuchi
手语具有交互性和多模态性的特点，这给手语数据的采集和标注带来了困难。为了解决这些困难，我们已经开发了一个基于视频的日本手语（JSL）语料库和语料库工具的注释和语言分析。作为语言注释的第一步，我们转录了表达词汇信息的手动符号以及用于表达语法信息的非手动符号（NMS），包括头部运动，面部动作和姿势。我们的目的是从语料库中提取语法规则，为手语翻译系统的发展。从这个角度出发，我们将讨论收集引出数据的方法，语法分析所需的注释，以及注释和语法分析所需的语料库工具。通过对2800个语料的标注，我们确定了日本手语中至少有50种不同的名词短语，包括头（7种）、颌（6种）、嘴（18种）、颊（1种）、眉（4种）、眼（7种）、眼凝视（2种）、身体姿势（5种）。我们使用这个语料库设计和测试的算法和语法规则的手语翻译系统开发中。
Sign language is characterized by its interactivity and multimodality, which cause difficulties in data collection and annotation. To address these difficulties, we have developed a video-based Japanese sign language (JSL) corpus and a corpus tool for annotation and linguistic analysis. As the first step of linguistic annotation, we transcribed manual signs expressing lexical information as well as non-manual signs (NMSs) including head movements, facial actions, and posture that are used to express grammatical information. Our purpose is to extract grammatical rules from this corpus for the sign-language translation system underdevelopment. From this viewpoint, we will discuss methods for collecting elicited data, annotation required for grammatical analysis, as well as corpus tool required for annotation and grammatical analysis. As the result of annotating 2800 utterances, we confirmed that there are at least 50 kinds of NMSs in JSL, using head (seven kinds), jaw (six kinds), mouth (18 kinds), cheeks (one kind), eyebrows (four kinds), eyes (seven kinds), eye gaze (two kinds), bydy posture (five kinds). We use this corpus for designing and testing an algorithm and grammatical rules for the sign-language translation system underdevelopment.