June 2018
Beginner to intermediate
306 pages
7h 42m
English
book
Natural Language Processing and Computational Linguistics
by Brian Sacash, Bhargav Srinivasa-Desikan, Reddy Anil Kumar
Content preview from Natural Language Processing and Computational Linguistics
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Where's the data at?
While it is important to be aware of the techniques and the tools involved in NLP and CL, it is, of course, pointless without any data. Luckily for us, we have access to an abundance of data if we look in the right places. The easiest way to find textual data to work on is to look for a corpus.
A text corpus is a large and structured set of texts and is a great way to start off with text analysis. Examples of such corpora that are free are the Open American National Corpus [5] or the British National Corpus [6]. Wikipedia has a useful list of the largest corpuses available in its article on text corpuses [7]. These are not limited to the English language, and there also exist various corpuses in European and Asian languages, ...
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