Planning Workshop for a Computational Linguistics Olympiad

计算语言学奥林匹克竞赛规划研讨会

• 批准号: 0633871
• 负责人: Lorraine Levin
• 金额: $ 4.31万
• 依托单位: Carnegie-Mellon University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2006
• 资助国家: 美国
• 起止时间: 2006-08-01 至 2012-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0633871&HistoricalAwards=false
• 关键词: Planning; Workshop; Computational; Linguistics; Olympiad

Linguistics is not included in high school curricula. Nevertheless,it is a rich area for careers in academia, education, government,national security, and information technology. It is also importantas as cognitive, social, and behavioral science. ComputationalLinguistics combines linguistic analysis with mathemetical andalgorithmic considerations. As a sub-area of Human LanguageTechnologies, it is one of the scientific bases of informationtechnologies involving speech, information retrieval, and universalaccess. In this project, more than 30 faculty and graduate studentsin Computational Linguistcs are collaborating to plan a ComputationalLinguistics Olympiad (CLO) contest targeted at high school students.The CLO as we envision it will include linguistic analysis as well asalgorithmic thinking in order to attract students who might pursuecareers in Human Language Technologies. An ideal contest wouldidentify talent independent of training. Therefore, skills likecomputer programming, which are not evenly distributed across genderand social class, should not be required. The intended outcome of theCLO is to identify talented students so that they can be advised toget the higher education they need in order to work in the field ofHuman Language Technologies, with the ultimate goal of increasing thesize and diversity of the pool of future researchers in Human LanguageTechnologies.

语言学不包括在高中课程中。然而，这是一个学术、教育、政府、国家安全和信息技术领域的丰富职业领域。它与认知科学、社会科学和行为科学一样重要.计算语言学将语言分析与数学和算法考虑结合在一起。作为人类语言技术的一个子领域，它是涉及语音、信息检索和普遍获取的信息技术的科学基础之一。在这个项目中，30多名计算语言学的教职员工和研究生正在合作策划一场针对高中生的计算语言学奥林匹克竞赛(CLO)。我们设想的CLO将包括语言分析和算法思维，以吸引可能从事人类语言技术专业的学生。一场理想的比赛应该是独立于训练的人才鉴定。因此，不应该要求像计算机编程这样的技能，这些技能在性别和社会阶层之间并不均匀分布。CLO的预期结果是发现有才华的学生，以便他们能够被建议接受他们在人类语言技术领域工作所需的高等教育，最终目标是增加未来人类语言技术研究人员的规模和多样性。