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Introduction to Computational Linguistics
Reading and Resources
The course will use the Natural Language Toolkit (NLTK-Lite), developed at Univ of Pennsylvania by Steven Bird and Edward Loper as an open source project at Sourceforge. This year, we will be using Version 0.6 of the toolkit. NLTK-Lite is provided as a Python package and modules from the package can therefore be imported into Python programs. For more details, including documentation, see the
Linguistic Corpus Resources on DICE
For general information about language and speech data on DICE, have a look at the corpora web page.
A variety of corpora are also included as part of the NLTK-Lite distribution, and can be found /usr/share/nltk-data.
New and revised chapters available online! Speech and Language Processing, 2nd Ed.
The following books and other resources are not required, but may prove useful as references for the programming portions of the course.
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