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: 0958440
• 负责人: Mona Diab
• 金额: $ 7.8万
• 依托单位: Columbia University
• 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
• 起止时间: 2010-03-01 至 2011-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0958440&HistoricalAwards=false
• 关键词: Collaborative; Research; CI; Creation; annotated

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.

语码转换 (CS) 是一个术语，用于描述给定语言对的双语使用者之间的常见做法，即使用者在共同语言之间来回切换。 CS 出现在所有类型的交流中，并且出现在不同的语言表达水平上。 当输入信号中包含其他语言（即具有 CS 现象的数据）时，针对单一语言训练的计算算法会失败。计算机科学处理研究的一大障碍是缺乏大型、准确注释的计算机科学数据语料库。该规划提案旨在为大型一致注释的数据存储库创建框架，该数据存储库将针对 7 种不同的语言，并以不同粒度级别的功能进行注释。在规划拨款的过程中，我们计划举办一次社区研讨会，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着的鲁棒性，并为真正的多语言处理创建一个框架。此外，它将直接影响社会语言学家解释 CS 的方式，从而产生更稳健和可复制的概括。对计算机科学的研究将有助于认识双语者在开发其言语技能方面的创造力。 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双语/多语的普遍意识。