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Collaborative Research:CI-P: Creation of an annotated repository of multilingual and multigenre code switched data for several language pairs

Collaborative Research:CI-P: Creation of an annotated repository of multilingual and multigenre code switched data for several language pairs
合作研究:CI-P:创建多个语言对的多语言和多流派代码交换数据的带注释存储库
批准号:
0958088
负责人:
Thamar Solorio
金额:
$2.2万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2010
资助国家:
美国
项目状态:
已结题
起止时间:
2010-03-01 至 2012-02-29

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中文摘要
翻译
语码转换(英语:Code switching,CS)是一个术语,用来描述特定语言对的双语者之间的一种常见行为,即说话者在他们的共同语言之间来回切换。交际策略存在于所有的交际类型中,并在不同的语言表达水平上出现。当输入信号中有其他语言时,针对单一语言训练的计算算法失败,即具有CS现象的数据。处理CS研究的一个主要障碍是缺乏大型的、准确注释的CS数据语料库。该规划提案旨在为大型一致注释数据库创建框架,该数据库将针对7种不同的语言,并以不同的粒度级别进行功能注释。在规划补助金的过程中,我们计划举办一个社区研讨会,以确保我们在存储库中满足他们的需求。我们将与社区合作,以准备完整的CRI提案。这些数据将为计算语言学研究带来变革,因为它将为自适应学习算法提供测试平台,在处理非常多样化的数据源时具有显著的鲁棒性,并为真正的多语言处理创建框架。此外,它将直接影响社会语言学家对CS的解释方式,从而导致更强大和可复制的概括。对语码转换的研究将有助于承认双语者在开发他们的语言技能方面的创造性。CS存储库将使许多相互关联的领域的新研究成为可能。这项研究将有助于提高对双语/多语制的普遍认识。
英文摘要
Code switching (CS) is the term used to describe a common practice among bilingual speakers of a given language pair in which the speakers switch back and forth between their common languages. CS occurs in all genres of communication, and at different levels of linguistic representation. Computational algorithms trained for a single language fail when the input has other languages in the signal i.e. data with CS phenomena. One major barrier to research on processing CS is the lack of large, accurately annotated corpora of CS data. This planning proposal aims at creating the framework for a large consistently annotated data repository that will target 7 different languages annotated with features at different levels of granularity. In the course of the planning grant, we plan to hold a community workshop to ensure that we are addressing their needs in the repository. We will work with the community in order to prepare the full CRI proposal. This data will be transformative for computational linguistics research as it will provide a testbed for adaptive learning algorithms, lead to significant robustness in handling very diverse data sources, and create a framework for genuine multilingual processing. Moreover, it will have a direct impact on the way sociolinguists account for CS leading to more robust and replicable generalizations. Research on CS will help acknowledge the creativity of bilinguals in exploiting their verbal repertoire. The CS repository will enable new research in many interconnected fields. This research will contribute to raising general awareness of bi/multilingualism.
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