Course Title: Language Technologies (11-120)
Department: Language Technologies Institute (LTI)
Units: 12
Semester: Fall
Instructors: Jamie Callan, Alan W Black, et al.
Course home page:
http://www.cs.cmu.edu/~callan/Teaching/11-682/
Prerequisites:
15-211 and 15-212 are prerequisites for SCS undergraduates.
Course Description:
Language technologies is the study of computational techniques to
process text and speech, including: Information Retrieval, Text
Mining, Parsing and Generation, Machine Translation, and Speech
Recognition Synthesis. The course will include specific computational
technique for each task, such as vector-spaces for IR, Web-spidering
for IR and text mining, hidden-markoff-models for speech, chart
parsing and so on. There will also be a synthesis task, such as
combining parsing, generation and disambiguation for MT. The
computational methods range from statistical to knowledge-based, and
draw from related areas such as machine learning and
linguistics. Students are expected to do hands-on programming and
extensions of algorithms, deriving skills useful for further focused
study in each area of language technologies as well as for web-based
textual and multimedia (e.g. speech) information
processing.
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