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F11 Introduction to Computational Linguistics

F11 Introduction to Computational Linguistics. Advances in computational linguistics have not only led to industrial applications of language technology; they can also provide useful tools for linguistic investigations of large online collections of text and speech, or for the validation of linguistic theories. Practical programming techniques, tips and tricks, including version control systems, will also be discussed.

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F11 Introduction to Computational Linguistics | icl-f11.utcompling.com Reviews

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F11 Introduction to Computational Linguistics. Advances in computational linguistics have not only led to industrial applications of language technology; they can also provide useful tools for linguistic investigations of large online collections of text and speech, or for the validation of linguistic theories. Practical programming techniques, tips and tricks, including version control systems, will also be discussed.

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F11 Introduction to Computational Linguistics | icl-f11.utcompling.com Reviews

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F11 Introduction to Computational Linguistics. Advances in computational linguistics have not only led to industrial applications of language technology; they can also provide useful tools for linguistic investigations of large online collections of text and speech, or for the validation of linguistic theories. Practical programming techniques, tips and tricks, including version control systems, will also be discussed.

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XFST tutorial - F11 Introduction to Computational Linguistics

http://icl-f11.utcompling.com/home/xfst-tutorial

F11 Introduction to Computational Linguistics. This page is adapted from Lauri Karttunnen, Tamás Gaál, and André Kempe's XFST. And Mark Gawron's XFST. Combines the best features of its two predecessors. It includes many extensions to the regular expresson calculus introduced at XRCE. Provides many ways to get information about a network and to inspect and modify its structure. Is launched with the command ' xfst. The launch command can be modified by a number of optional flags. For example, ' xfst. With ...

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Schedule - F11 Introduction to Computational Linguistics

http://icl-f11.utcompling.com/schedule

F11 Introduction to Computational Linguistics. Written portions of assignments are due at the start of class (12:00pm) on their due date. Digital submissions (e.g. code, PDFs) are due by 11:00am on Blackboard (so that students show up to class on time). The schedule is subject to change, as the semester progresses, however any changes will be made at least one week in advance of the dates affected. To have completed the Jurafsky and Martin readings before class on the days indicated. 28-Sep-11: Finite St...

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Links - F11 Introduction to Computational Linguistics

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F11 Introduction to Computational Linguistics. Suggestions welcome for additional links! The Scala Programming Language. The Scala Documentation Project. Online tutorials and exercises. I'm creating tutorials about Scala for first time programmers on my blog, Bcomposes. Part 1: the Scala REPL, expressions, variables, basic types, simple functions, saving and running programs, comments. Part 2: Tuples, Lists, methods on Lists and Strings. Part 3: Conditional execution with if-else blocks and matching.

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Syllabus - F11 Introduction to Computational Linguistics

http://icl-f11.utcompling.com/syllabus

F11 Introduction to Computational Linguistics. Course: LIN386M Introduction to Computational Linguistics. Office hours: Mon 10-noon, Fri 9:30-10:30. This page serves as the syllabus for this course. Jurafsky, D. and J. H. Martin, Speech and language processing: An Introduction to Natural Language Processing, Computational Linguistics, and Speech Recognition. 2nd Edition). Prentice-Hall, 2008. Additional required readings will be made available for download from the schedule page. Of the course website.

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Courses - The UT Austin Computational Linguistics Lab

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The UT Austin Computational Linguistics Lab. Current and upcoming courses. Please check faculty course pages:. Here are some of the computational linguistics courses offered at UT Austin previously. Grounded Models of Meaning. Introduction to Computational Linguistics. Data-Intensive Computing for Text Analysis. Linguistics, iSchool, and Computer Science. Introduction to Computational Linguistics. Word Meaning and Concepts. LIN 350 / CS 378. Linguistics and Computer Science. LIN 386 / CS 395T.

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F11 Introduction to Computational Linguistics

F11 Introduction to Computational Linguistics. Advances in computational linguistics have not only led to industrial applications of language technology; they can also provide useful tools for linguistic investigations of large online collections of text and speech, or for the validation of linguistic theories. Practical programming techniques, tips and tricks, including version control systems, will also be discussed.

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