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乌普萨拉大学： 乌普萨拉大学（瑞典语：Uppsala universitet）是一所世界知名的瑞典国立综合性大学，其位于斯德哥尔摩西北78公里的乌普萨拉。它创建于1477年，是北欧地区的第一所的大学，常年跻身世界百强大学之列，北欧及全球范围最好的大学之一，有“北欧剑桥”、“美苏核竞赛见证人”等美誉，在欧洲亦被广泛视为最享有盛誉的学府之一。作为瑞典最负盛名的综合大学和北欧历史最悠久的大学，许多著名科学家曾在此求学或任教，是诺贝尔、林奈等的母校。截止2017年，共有17位校友及教职工曾获得诺贝尔奖，在北欧各大学中位居首位。乌普萨拉大学在诸多学科领域实力雄厚。其中，生物学、电脑科学、资讯技术、地质地理科学、发展研究等相关学科和专业研究水准位居世界前列。（来自维基百科） 2022 乌普萨拉大学软科排名：#78
Master's Programme in Language Technology 语言技术硕士课程 The Master's Programme in Language Technology will teach you how to make computers perform useful and interesting tasks involving human language. The subject relies both on humanistic insights into the way language works and on the use of computational methods. Recent progress in language technology is to a large extent due to the developments in machine learning and artificial intelligence. The programme prepares you for a career in the commercial language technology field, as well as for a future in the academic world as a PhD student. 语言技术硕士课程将教你如何让计算机执行涉及人类语言的有用和有趣的任务。该学科既依赖于对语言工作方式的人文洞察力，也依赖于计算方法的使用。语言技术的最新进展在很大程度上是由于机器学习和人工智能的发展。该课程为你在商业语言技术领域的职业发展，以及作为博士生在学术界的未来做好准备。 Why this programme?为什么选择这个项目？ Applications involving language technology are defining and redefining contemporary culture in more or less all corners of the world. Examples include document relevance ranking and filtering (in e.g. search engines and social media), automatic translation, writers' aids, business intelligence, and profiling of individuals. The core of language technology are methods for automatically analysing texts with a sensitivity for their linguistic structure and content. The challenges for language technology lie in the richness, unpredictability, and creativity of human communication, not least in the new modes of personal expression encouraged by social media. In working with the practical side of language technology, you will also gain insights in more theoretical computational linguistics. Important themes are empirical methods and data collection, statistics in modelling of linguistic phenomena, and machine learning. 涉及语言技术的应用正在或多或少地定义和重新定义世界各个角落的当代文化。例如，文件相关性排名和过滤（例如在搜索引擎和社交媒体中）、自动翻译、作家辅助工具、商业智能和个人分析。语言技术的核心是自动分析文本的方法，对其语言结构和内容具有敏感性。 语言技术的挑战在于人类交流的丰富性、不可预测性和创造性，尤其是社交媒体所鼓励的新的个人表达模式。在处理语言技术的实践方面，你也将获得更多理论性的计算语言学的见解。重要的主题是实证方法和数据收集，语言现象建模中的统计，以及机器学习。 Key features主要特点
Student profile对学生的要求 You might have studied linguistics for at least a year, and even if your experience with computer science is limited, you feel that you have the talent and motivation to quickly learn more about programming and quantitative methods. If you enrol in the programme with previous credits in computer science or language technology you will have the opportunity to develop your skills in the more advanced courses. You can also replace some of the default courses of the programme with other courses if you think that they will be better given your background and career aims. You are highly motivated and willing to take responsibility for your own education and career plans. Challenging problems stimulate your creativity. You are used to planning your own work and keeping deadlines. Social skills are an important part of your personality and you enjoy working both on your own and with others in project settings. Another essential aspect of your studies is that you develop a professional fluency in English. A future PhD education is a possibility you might have thought about. But, starting to work right after graduation is also something you are considering and you like to keep your options open for now. Degree The programme leads to a Master of Arts (120 credits) with Language Technology as the main field of study. 你可能已经学习了至少一年的语言学，即使你在计算机科学方面的经验有限，但你觉得你有天赋和动力来快速学习更多的编程和定量方法。如果你以前在计算机科学或语言技术方面有学分，你将有机会在更高级的课程中发展你的技能。如果你认为根据你的背景和职业目标，该课程的一些默认课程会更好，你也可以用其他课程代替。 你有很强的积极性，愿意为自己的教育和职业计划负责。具有挑战性的问题能激发你的创造力。你习惯于计划自己的工作并遵守最后期限。社会技能是你个性的一个重要部分，你喜欢在项目环境中独立工作和与他人合作。您的学习的另一个重要方面是，您会发展出专业的流利的英语。 未来的博士教育是你可能已经想到的一种可能性。但是，毕业后立即开始工作也是你正在考虑的事情，你喜欢暂时保持你的选择 课程设置：
来自官网 The first semester of the two-year programme provides a starting point for further studies. Courses in programming and mathematics give you the skills necessary for performing quantitative analysis of linguistic phenomena and for working with large-scale automatic processing of linguistic data. The semester also includes an overview of the various issues and methods typical of language technology. The second semester provides further depth in programming and in key language technology areas, with an emphasis on statistical methods. There is also room for elective courses, allowing you to tailor your studies to your own interests and career plans. The course Language Technology: Research and Development in the third semester focuses on project work and research methodology, spurring you to think critically, independently, and creatively when approaching language technology tasks. Further elective courses will highlight key language technology areas or other relevant fields. The fourth and final semester is dedicated to the Master's thesis, in which you conduct an in-depth study of some approach to a language technology problem. 两年制课程的第一学期为进一步学习提供了一个起点。编程和数学方面的课程为您提供了对语言现象进行定量分析和对语言数据进行大规模自动处理的必要技能。本学期还包括对语言技术的各种典型问题和方法的概述。 第二学期在编程和关键语言技术领域提供进一步的深度，重点是统计方法。还有选修课程的空间，使你能够根据自己的兴趣和职业计划来调整你的学习。 语言技术课程。第三学期的研究与开发课程侧重于项目工作和研究方法，促使你在处理语言技术任务时进行批判性、独立性和创造性的思考。进一步的选修课程将强调关键的语言技术领域或其他相关领域。 第四学期，也是最后一个学期，专门用于硕士论文，在论文中，你将对语言技术问题的某些方法进行深入研究。 申请截止日期： 每年可能会有不同， 以2022秋季入学为例 Application deadline:17 January 2022 更多申请信息参考官网： https://www./en 封面来源： A special daytrip to Uppsala. |
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