Robyn Speer
87b03325db
transliterate: Handle unexpected Russian invasions
2017-01-04 18:51:00 -05:00
Robyn Speer
6211b35fb3
Add transliteration of Cyrillic Serbian
2016-12-29 18:27:17 -05:00
Robyn Speer
a8e2fa5acf
add a test for "aujourd'hui"
2016-12-06 17:39:40 -05:00
Robyn Speer
21a78f5eb9
Bake the 'h special case into the regex
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This lets me remove the French-specific code I just put in.
2016-12-06 17:37:35 -05:00
Robyn Speer
4376636316
add a specific test in Catalan
2016-12-05 18:54:51 -05:00
Robyn Speer
ff5a8f2a65
add tests for French apostrophe tokenization
2016-12-05 18:54:51 -05:00
Robyn Speer
68c6d95131
Revise multilingual tests
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Former-commit-id: 21246f881f
2016-07-29 12:19:12 -04:00
Robyn Speer
2a41d4dc5e
Add Common Crawl data and more languages ( #39 )
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This changes the version from 1.4.2 to 1.5. Things done in this update include:
* include Common Crawl; support 11 more languages
* new frequency-merging strategy
* New sources: Chinese from Wikipedia (mostly Trad.), Dutch big list
* Remove kinda bad sources, i.e. Greek Twitter (too often kaomoji are detected as Greek) and Ukrainian Common Crawl. This results in dropping Ukrainian as an available language, and causing Greek to not be a 'large' language after all.
* Add Korean tokenization, and include MeCab files in data
* Remove marks from more languages
* Deal with commas and cedillas in Turkish and Romanian
Former-commit-id: e6a8f028e3
2016-07-28 19:23:17 -04:00
Robyn Speer
0a2bfb2710
Tokenization in Korean, plus abjad languages ( #38 )
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* Remove marks from more languages
* Add Korean tokenization, and include MeCab files in data
* add a Hebrew tokenization test
* fix terminology in docstrings about abjad scripts
* combine Japanese and Korean tokenization into the same function
Former-commit-id: fec6eddcc3
2016-07-15 15:10:25 -04:00
Robyn Speer
3155cf27e6
Fix tokenization of SE Asian and South Asian scripts ( #37 )
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Former-commit-id: 270f6c7ca6
2016-07-01 18:00:57 -04:00
Robyn Speer
c72326e4c0
fix Arabic test, where 'lol' is no longer common
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Former-commit-id: da79dfb247
2016-05-11 17:01:47 -04:00
Robyn Speer
f25985379c
move Thai test to where it makes more sense
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Former-commit-id: 4ec6b56faa
2016-03-10 11:56:15 -05:00
Robyn Speer
51e260b713
Leave Thai segments alone in the default regex
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Our regex already has a special case to leave Chinese and Japanese alone
when an appropriate tokenizer for the language isn't being used, as
Unicode's default segmentation would make every character into its own
token.
The same thing happens in Thai, and we don't even *have* an appropriate
tokenizer for Thai, so I've added a similar fallback.
Former-commit-id: 07f16e6f03
2016-02-22 14:32:59 -05:00
Robyn Speer
4a4534c466
test_chinese: fix typo in comment
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Former-commit-id: 2a84a926f5
2015-09-24 13:41:11 -04:00
Robyn Speer
e15a231401
Merge branch 'master' into chinese-external-wordlist
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Conflicts:
wordfreq/chinese.py
Former-commit-id: cea2a61444
2015-09-24 13:40:08 -04:00
Andrew Lin
e7d46fb104
Revert a small syntax change introduced by a circular series of changes.
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Former-commit-id: 09597b7cf3
2015-09-24 13:24:11 -04:00
Robyn Speer
4d00f17477
don't apply the inferred-space penalty to Japanese
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Former-commit-id: db5eda6051
2015-09-24 12:50:06 -04:00
Robyn Speer
9a007b9948
refactor the tokenizer, add include_punctuation
option
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Former-commit-id: e8e6e0a231
2015-09-15 13:26:09 -04:00
Robyn Speer
1adbb1aaf1
add external_wordlist
option to tokenize
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Former-commit-id: 669bd16c13
2015-09-10 18:09:41 -04:00
Robyn Speer
f0c7c3a02c
Lower the frequency of phrases with inferred token boundaries
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Former-commit-id: 5c8c36f4e3
2015-09-10 14:16:22 -04:00
Robyn Speer
a4554fb87c
tokenize Chinese using jieba and our own frequencies
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Former-commit-id: 2327f2e4d6
2015-09-05 03:16:56 -04:00
Robyn Speer
4704131e13
add tests for Turkish
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Former-commit-id: fc93c8dc9c
2015-09-04 17:00:05 -04:00
Robyn Speer
8795525372
Use the regex implementation of Unicode segmentation
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Former-commit-id: 95998205ad
2015-08-24 17:11:08 -04:00
Andrew Lin
e88cf3fdaf
Document the NFKC-normalized ligature in the Arabic test.
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Former-commit-id: 41e1dd41d8
2015-08-03 11:09:44 -04:00
Andrew Lin
b0fac15f98
Switch to more explanatory Unicode escapes when testing NFKC normalization.
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Former-commit-id: 66c69e6fac
2015-07-31 19:23:42 -04:00
Joshua Chin
af8050f1b8
ensure removal of tatweels (hopefully)
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Former-commit-id: 173278fdd3
2015-07-20 16:48:36 -04:00
Joshua Chin
e8fa25cb73
updated comments
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Former-commit-id: 131b916c57
2015-07-17 14:50:12 -04:00
Andrew Lin
5c72e68b7e
Express the combining of word frequencies in an explicitly associative and commutative way.
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Former-commit-id: 32b4033d63
2015-07-09 15:29:05 -04:00
Joshua Chin
d4409a2214
removed unused imports
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Former-commit-id: b9578ae21e
2015-07-07 16:21:22 -04:00
Joshua Chin
4b398fac65
updated minimum
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Former-commit-id: 59c03e2411
2015-07-07 15:46:33 -04:00
Joshua Chin
b3a008f992
added arabic tests
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Former-commit-id: f83d31a357
2015-07-07 15:10:59 -04:00
Joshua Chin
21c809416d
changed default to minimum for word_frequency
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Former-commit-id: 9aa773aa2b
2015-07-07 15:03:26 -04:00
Joshua Chin
9c741bb341
updated tests
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Former-commit-id: ca66a5f883
2015-07-07 14:13:28 -04:00
Robyn Speer
9615b9f843
test and document new twitter wordlists
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Former-commit-id: 14cb408100
2015-07-01 17:53:38 -04:00
Robyn Speer
a9b9b2f080
update data using new build
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Former-commit-id: f9a9ee7a82
2015-07-01 11:18:39 -04:00
Robyn Speer
4997d776b9
case-fold instead of just lowercasing tokens
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Former-commit-id: 638467f600
2015-06-30 15:14:02 -04:00
Joshua Chin
fbd15947bb
revert changes to test_not_really_random
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Former-commit-id: bbf7b9de34
2015-06-30 11:29:14 -04:00
Joshua Chin
9b02abb5ea
changed english test to take random ascii words
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Former-commit-id: a49b66880e
2015-06-29 11:05:01 -04:00
Joshua Chin
d10109bb38
changed japanese test because the most common japanese ascii word keeps changing
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Former-commit-id: 5ed03b006c
2015-06-29 11:04:19 -04:00
Joshua Chin
fa89956df3
Japanese people do not 'lol', they 'w'
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Former-commit-id: 17f11ebd26
2015-06-29 11:01:13 -04:00
Joshua Chin
a0b7211451
updated tests for emoji splitting
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Former-commit-id: 3bcb3e84a1
2015-06-25 11:25:51 -04:00
Robyn Speer
f3958d63ae
Switch to a more precise centibel scale.
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Former-commit-id: 7862a4d2b6
2015-06-22 17:36:30 -04:00
Joshua Chin
4706a38c7a
updated test because the new tokenizer removes URLs
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Former-commit-id: 35f472fcf9
2015-06-18 11:38:28 -04:00
Robyn Speer
860e929bf8
update Japanese data; test Japanese and token combining
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Former-commit-id: 611a6a35de
2015-05-28 14:01:56 -04:00
Robyn Speer
4a865bfaec
remove old tests
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Former-commit-id: 410912d8f0
2015-05-21 20:36:09 -04:00
Robyn Speer
26517c1b86
tests for new wordfreq with full coverage
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Former-commit-id: df863a5169
2015-05-21 20:34:17 -04:00
Robyn Speer
a06c3fc648
A different plan for the top-level word_frequency function.
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When, before, I was importing wordfreq.query at the top level, this
created a dependency loop when installing wordfreq.
The new top-level __init__.py provides just a `word_frequency` function,
which imports the real function as needed and calls it. This should
avoid the dependency loop, at the cost of making
`wordfreq.word_frequency` slightly less efficient than
`wordfreq.query.word_frequency`.
Former-commit-id: 44ccf40742
2014-02-24 18:03:31 -05:00
Andrew Lin
181e8e08fa
Remove the tests for metanl_word_frequency too. Doh.
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Former-commit-id: 68d262791c
2013-11-11 13:21:25 -05:00
Robyn Speer
5f7c7e032c
Clear wordlists before inserting them; yell at Python 2
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Former-commit-id: 823b3828cd
2013-11-01 19:29:37 -04:00
Robyn Speer
5168da105a
make the tests less picky about numerical exactness
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Former-commit-id: 2b2bd943d2
2013-10-31 15:43:19 -04:00