众包策略在语言资源建设中的应用

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摘要

众包概念可从众包策略、众包策略的实现方法以及众包策略的实现案例三个层面来理解。众包策略的要义在于借助互联网以公开招募的形式汇聚众智众力解决问题。语言资源建设包括本体语言资源建设和派生语言资源建设两项主要内容。众包在语言资源建设中可用于语言数据的采集和加工、语言生活舆情调查、为语言资源建设提供资金和设施支持、促进语言资源建设的宣传推广和语言资源建设社会力量的培育。众包为多、快、好、省、可持续地进行语言资源建设提供了可能。土耳其机器人在语言资源建设中有着广泛的应用空间，是目前众包策略运用于语言资源建设的最具操作性和最为成熟的实现方法。

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	黄居仁王世昌

关键词 ：众包, 众包策略, 众包平台, 语言资源, 土耳其机器人

Abstract：

The crowdsourcing concept can be understood from three perspectives: the crowdsourcing strategy, the implementation method of crowdsourcing strategy, and the implementation

case of crowdsourcing strategy. The gist of crowdsourcing strategy is to unite the power and wisdom of crowds to solve problems in the form of open call via the Internet. Language

resource construction consists of natural language resource construction and extended language resource construction. In language resource construction, crowdsourcing can be used to collect language data, to process language data, to conduct language-related surveys, to fund language resource construction, to promote the publicity of language resource construction, and to cultivate the social forces for language resource construction. This paper provides a relatively detailed explanation of the development of crowdsourcing strategy and how it can be utilized in developing language resources with an illustration of Mechanical Turk, which has extensive applications in language resource construction and is the most well established and operational crowdsourcing implementation method at present. At the end of the article, we further elaborate the strength of this innovative approach that presents a strategic opportunity for users to champion a collaborative digital enterprise and to tap into the possibility contributed by diverse audience through using a variety of social media and collaborative software solutions, showing our optimism for the prospect of outsourcing work to the crowd for obtaining needed services or ideas in resolving problems.

Key words： crowdsourcing crowdsourcing strategy crowdsourcing platform language resource Mechanical Turk

基金资助:本研究得到了中华人民共和国香港特别行政区研究资助局优配研究金（GRF）立项项目（PolyU544011）的支持。感谢匿名审稿专家和编辑部的宝贵意见。

通讯作者: 黄居仁，男，香港理工大学人文学院中文及双语学系讲座教授，主要研究方向为计算语言学、词汇语义学、知识本体、语料库语言学、语言典藏等。

作者简介: 黄居仁，男，香港理工大学人文学院中文及双语学系讲座教授，主要研究方向为计算语言学、词汇语义学、知识本体、语料库语言学、语言典藏等。王世昌，男，山东大学文学院助理研究员，主要研究方向为以词汇为中心的语言资源、语言计量、语言比较等。

引用本文:

黄居仁王世昌. 众包策略在语言资源建设中的应用[J]. 语言战略研究, 2016, 1(6): 36-46.
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