Natural language determination using correlation between common words
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United States of America Patent
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Feb 8, 2000
Issued Date -
N/A
app pub date -
Dec 20, 1996
filing date -
Aug 19, 1996
priority date (Note) -
Expired
status (Latency Note)
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Abstract
The language in which a computer document is written is identified. A plurality of words from the document are compared to words in a word list associated with a candidate language. The words in the word list are a selection of the most frequently used words in the candidate language. A count of matches between words in the document and words in the word list for each word in the word list to produce a sample count. The sample count is correlated to a reference count for the candidate language to produce a correlation score for the candidate language. The language of the document is identified based on the correlation score. Generally, there are a plurality of candidate languages. Thus, comparing, accumulating, correlating and identifying processes are practiced for each language. The language of the document is identified as the candidate language having a reference count which generates a highest correlation score.
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