TEXT-BASED UNSUPERVISED LEARNING OF LANGUAGE MODELS
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United States of America Patent
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Issued Date -
Sep 10, 2015
app pub date -
Mar 6, 2014
filing date -
Mar 6, 2014
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Abandoned
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Abstract
A method for constructing a language model for a domain, comprising incorporating textual terms related to the domain in language models having relevance to the domain that are constructed from clusters of textual data collected from a variety of sources, thus generating an adapted language model adapted for the domain, wherein the textual data is collected from the variety or sources by a computerized apparatus connectable to the variety or sources and wherein the method is performed on an at least one computerized apparatus configured to perform the method.
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