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text.py
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-"""Statistical Language Processing tools. (Chapter 23)
+"""Statistical Language Processing tools. (Chapter 22)
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We define Unigram and Ngram text models, use them to generate random text,
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and show the Viterbi algorithm for segmentatioon of letters into words.
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Then we show a very simple Information Retrieval system, and an example
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working on a tiny sample of Unix manual pages."""
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-# (Written for the second edition of AIMA; expect some discrepanciecs
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-# from the third edition until this gets reviewed.)
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-
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from utils import *
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from math import log, exp
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import heapq, re, search
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