基于语音和文本查询的泰米尔语-英语跨语言信息检索系统

P. Iswarya, V. Radha
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引用次数: 5

摘要

访问互联网的网络用户与日俱增。任何人都可以随时从网络上获取所需的任何信息。信息检索是指在任何有用信息的周围都存在着大量的垃圾信息。这些信息应易于获取和消化。互联网不再是单一语言的,非英语内容正在迅速增长。与使用键盘和鼠标相比,语音是人们与计算机互动的简便交流方式。本文是语音识别与跨语言信息检索系统整合的新尝试。基于语音的查询检索性能与基于文本的查询检索性能是一致的。语音识别和跨语言信息检索这两个领域的整合都非常具有挑战性。在 2011 年信息检索评估论坛(FIRE)数据集上,基于语音和文本查询的泰米尔语-英语跨语言信息检索(CLIR)系统的单语检索率分别达到 65% 和 63%。未来,基于语音的跨语言信息检索系统对视障人士非常有用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Speech and text query based Tamil - English Cross Language Information Retrieval system
The number of Web Users accessing the Internet becomes increasing day by day. Any kind of required information can be obtained anytime by anybody from the web. Information retrieval is the fact that there is vast amount of garbage that surrounds any useful information. Such information should be easily accessible and digestible. Internet is no longer monolingual and non-English content is growing rapidly. Speech is easy mode of communication for the people to interact with the computer, rather than using keyboard and mouse. This paper is new attempt to integrate speech recognition and cross language information retrieval system. Speech based queries retrieval performance is compatible with retrieval performance of text based queries. Both Speech recognition and Cross language information retrieval fields are very much challenging to integrate. On Forum for Information Retrieval Evaluation (FIRE) 2011 dataset speech and text query based Tamil- English Cross Language Information Retrieval (CLIR) system achieves 65% and 63% of monolingual retrieval. In future speech based CLIR system very much useful for visually challenged people.
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