Overcoming Data Sparsity in Machine Translation

克服机器翻译中的数据稀疏性

• 批准号: RGPIN-2017-05875
• 负责人: Kondrak, Grzegorz
• 金额: $ 1.68万
• 依托单位: University of Alberta
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2017
• 资助国家: 加拿大
• 起止时间: 2017-01-01 至 2018-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=635069
• 关键词: Overcoming; Data; Sparsity; Machine; Translation

Canada is a multicultural society. A large percentage of Canadian residents report a mother tongue that is distinct from either English or French. In addition, Canada is home to a rich variety of indigenous languages, some of which have also been granted official status. Everyone has the right to get all official federal government services, publications and documents in both English and French. Important information for new Canadians is often provided in multiple languages and scripts. Increasing the availability of texts in aboriginal languages increases their prestige, and thus helps preserve them.

加拿大是一个多元文化的社会。很大一部分加拿大居民的母语与英语或法语不同。此外，加拿大是各种土著语言的家园，其中一些语言也被授予官方地位。每个人都有权获得所有正式的联邦政府服务、出版物和文件的英文和法文版本。为新加拿大人提供的重要信息通常以多种语言和文字提供。增加土著语言文本的可用性，提高了土著语言的声望，从而有助于保护土著语言。