Evaluation of American Sign Language Generation by Native ASL Signers
Evaluation of American Sign Language Generation by Native ASL Signers
复制标题
对母语 ASL 手语者生成美国手语的评价
DOI：
10.1145/1361203.1361206
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发表时间：
2008
期刊：
影响因子：
--
通讯作者：
J. Allbeck
中科院分区：
文献类型：
--
作者：
Matt Huenerfauth;Liming Zhao;Erdan Gu;J. Allbeck
有许多重要的因素，在设计的评估研究系统，生成动画的美国手语（ASL）的句子，和技术，用于评估自然语言生成的书面文本不容易适应ASL。在进行基于用户的评估时，必须考虑到美国聋人社区成员的几个文化和语言特征，以确保涉及这些用户的评估的准确性。本文描述了一个原型ASL自然语言生成系统，产生包含分类谓词，这是频繁和复杂的空间现象，以前的ASL生成器没有产生的句子的实现和基于用户的评估（由本地ASL签名）。本地签名者更喜欢系统的输出，而不是签名英语动画-在语法性，可理解性和运动自然性方面得分更高。在观看系统的分类器谓词动画后，他们在理解任务中也更成功。
There are many important factors in the design of evaluation studies for systems that generate animations of American Sign Language (ASL) sentences, and techniques for evaluating natural language generation of written texts are not easily adapted to ASL. When conducting user-based evaluations, several cultural and linguistic characteristics of members of the American Deaf community must be taken into account so as to ensure the accuracy of evaluations involving these users. This article describes an implementation and user-based evaluation (by native ASL signers) of a prototype ASL natural language generation system that produces sentences containing classifier predicates, which are frequent and complex spatial phenomena that previous ASL generators have not produced. Native signers preferred the system's output to Signed English animations -- scoring it higher in grammaticality, understandability, and naturalness of movement. They were also more successful at a comprehension task after viewing the system's classifier predicate animations.