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Tested in python 2.7.2 and it worked
the code:
```
trigram_measures = nltk.collocations.TrigramAssocMeasures()
finder = TrigramCollocationFinder.from_words(words)
ignored_words = nltk.corpus.stopword…
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Using Python 2.7:
```
======================================================================
FAIL: nltk.test.unit.test_collocations.test_bigram2
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kmike updated
10 years ago
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I have about 1k plus articles, and try to find the similar paragraphs from these articles(using cosine similarity). The paragraphs usually are 200-300 words.
I have read the words from your book agai…
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Hi,
At first I want to thank you for this wonderful wrapper. It saves me allot of time I've rewritten my c++ code to use this.
I see that all the models are loaded into the wrapper. How can I select…
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http://robespierre.ci.uchicago.edu/philo4/encycmarch12_4/
3/14/2013: Search "esprit*" in 5 word collocation. Get 132 hits with
“nos”. First hit:
Ainsi plusieurs Sciences ont été, pour ainsi dire,…
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Reimplement FreqDist to use collections.Counter, in NLTK 3.0.
http://docs.python.org/3.1/library/collections.html?highlight=counter#collections.Counter
Migrated from http://code.google.com/p/nltk/is…
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We should be able to find the all the high frequency terms/phrases ( where frequency is the search criteria / benchmark)
---
Migrated from [LUCENE-474](https://issues.apache.org/jira/browse/LUCENE…
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I don't see where it's used in the code. Is this leftover cruft?
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An umbrella issue for speed optimizations of various kinds
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Steps to reproduce:
- Type "hello" in the new translate line.
- GoldenDict suggest me "hello", "Hello Kitty", "Hello Everyone", etc.
- Iterate over the suggestion by using arrow keys or mouse scroll …