Certificate in Computational Linguistics

学历文凭
Advanced Certificate

专业院系
语言学

开学时间

课程时长

课程学费

国际学生入学条件
You are considered a freshman applicant if you will have a high school diploma or GED and have not enrolled at any college or university beyond the summer immediately following your high school graduation.
The information on this page is for:
Undergraduate applicants who plan to study at San Francisco State in F-1 student visa status
Undergraduate applicants who are U.S. citizens, U.S. permanent residents, or in another immigration status, and have transcripts from an international institution.
Have a a 2.5 grade point average (GPA) in the 4.0 grading scale or B- average in academic courses completed after 9th grade.
Complete a secondary/high school curriculum that totals 12 years of primary-secondary education, be qualified to enter a university in your home country and have a good scholastic record from an accredited/recognized school.
TOEFL iBT Total Score - 61
IELTS Overall Score - 6.0
PTE Academic Score - 45
IB English A Language and Literature HL - 4
IB English A Literature HL - 4
Transcripts are required for each high school you attended.
If you are currently in the final year of high school, we need to see grades through your first semester (or second trimester) of year 12.
If you already completed high school, we need to see your complete high school transcript and proof of high school graduation.
If your school does not issue transcripts in English, we will need a word-for-word certified English translation.
We do not accept credential evaluations from third-party companies.
If you are admitted, you will be required to submit official, final transcripts at a later date.
Any documents submitted to SF State become the property of the University and will not be returned
TOEFL (Test of English as a Foreign Language)
Paper-based Test (PBT): 500
The information on this page is for:
Undergraduate applicants who plan to study at San Francisco State in F-1 student visa status
Undergraduate applicants who are U.S. citizens, U.S. permanent residents, or in another immigration status, and have transcripts from an international institution.
Have a a 2.5 grade point average (GPA) in the 4.0 grading scale or B- average in academic courses completed after 9th grade.
Complete a secondary/high school curriculum that totals 12 years of primary-secondary education, be qualified to enter a university in your home country and have a good scholastic record from an accredited/recognized school.
TOEFL iBT Total Score - 61
IELTS Overall Score - 6.0
PTE Academic Score - 45
IB English A Language and Literature HL - 4
IB English A Literature HL - 4
Transcripts are required for each high school you attended.
If you are currently in the final year of high school, we need to see grades through your first semester (or second trimester) of year 12.
If you already completed high school, we need to see your complete high school transcript and proof of high school graduation.
If your school does not issue transcripts in English, we will need a word-for-word certified English translation.
We do not accept credential evaluations from third-party companies.
If you are admitted, you will be required to submit official, final transcripts at a later date.
Any documents submitted to SF State become the property of the University and will not be returned
TOEFL (Test of English as a Foreign Language)
Paper-based Test (PBT): 500
IDP—雅思考试联合主办方

雅思考试总分
6.0
了解更多
- 雅思总分:6
- 托福网考总分:61
- 托福笔试总分:500
- 其他语言考试:PTE Academic Score - 45
CRICOS代码:
申请截止日期:请 与IDP联系 以获取详细信息。
课程简介
The Certificate in Computational Linguistics is designed to provide academic training in the study of computational approaches to language analysis. The curriculum assumes no prior linguistic or programming knowledge and introduces students to a variety of computational methods and their theoretical underpinnings including: writing programs in Python to process raw texts (tokenization), discovering statistical patterns in linguistic data (frequency distribution), performing part-of-speech tagging, text segmentation, and classification (context-free grammars, dependency grammars), extracting meaning from texts, and applying various machine learning methods to data mining.
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