Master of Science in Human Language Technology
  • 学历文凭

    Masters Degree

  • 专业院系

    人工智能与机器人

  • 开学时间

  • 课程时长

  • 课程学费

    汇率提示

国际学生入学条件

GPA Requirement
Prospective applicants must have a 3.0 or higher GPA in order to qualify for admission.

Statement of Intent
Applicants must submit a concise statement of intent demonstrating their academic goals, career goals, and why a graduate degree in linguistics would help him/her pursue these goals.

Writing Sample
Applicants must provide a writing sample to demonstrate their level and proficiency of writing.

Standardized Tests
The GRE is optional, not required for the HLT Program.

English Proficiency
English proficiency is one of the requirements for admission for all applicants whose native language is not English. Applicants must submit a minimum TOEFL (Test of English as a Foreign Language) score of 550 on the paper-based test (PB), 79 on the internet-based test (iBT), or a IELTS (International English Language Testing System) composite score of 7 (no subject area below a score of 6). International students seeking graduate teaching assistantships must attain the minimum TOEFL or IELTS score listed above, and in addition must attain a score of 26 or higher on the speak portion of the TOEFL IBT.

Letters of Recommendation
Applicants must submit three letters of recommendation from letter writers who know the student's work, specifically assessing student's ability to carry out graduate work in linguistics. Applicants are encouraged to submit letters of recommendation from professors who are familiar with the applicant's recent academic work.
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雅思考试总分

7.0

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  • 雅思总分:7
  • 托福网考总分:79
  • 托福笔试总分:550
  • 其他语言考试:Pearson PTE Academic (link is external) - minimum score of 60
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课程简介

Human Language Technology (HLT) is a developing interdisciplinary field encompassing most subdisciplines of linguistics and computational linguistics, natural language processing, computer science, artificial intelligence, psychology, philosophy, mathematics, and statistics.<br>Anywhere language meets information technology or where humans need to interact with computers, language needs to be organized so that it can be handled and processed by computational means. This often requires broad knowledge about linguistics and how languages work and computer science and related fields.<br>Well-known topics in human language technology include web search engine technology (an instance of information retrieval), speech recognition (computer dictation), speech synthesis (computer-generated speech), optical character recognition (OCR), machine translation, electronic dictionaries, spell checking, grammar checking, word processing, computer typesetting, computer-assisted language teaching, automatic captioning on TV - in short, any and all tasks where human language and information technology meet.<br>At the University of Arizona, our objective is to provide a balanced curriculum in linguistics, computational linguistics, and practical skills like business training. Upon completion of the program, students will have the skills required to enter a competitive workforce. We also work closely with providers of internship opportunities in the industry to assure that students receive strong hands-on experience in the form of a final project, preferably done in the industry. The minimum number of credits to be completed is 36, and students will also write a master's thesis documenting an actual completed implementation. Possible local industrial internship opportunities include Lockheed Martin (Phoenix), Intel (Chandler), Raytheon (Tucson), and Motorola (Phoenix).
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