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fixes based on code review notes
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README.md
10
README.md
@ -26,7 +26,7 @@ install them on Ubuntu:
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## Usage
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wordfreq provides access to estimates of the frequency with which a word is
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used, in 15 languages (see *Supported languages* below). It loads
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used, in 16 languages (see *Supported languages* below). It loads
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efficiently-packed data structures that contain all words that appear at least
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once per million words.
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@ -122,13 +122,13 @@ of word usage on different topics at different levels of formality. The sources
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- **Twitter**: Messages sampled from Twitter's public stream
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- **Wikipedia**: The full text of Wikipedia in 2015
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The following 12 languages are well-supported, with reasonable tokenization and
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The following 14 languages are well-supported, with reasonable tokenization and
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at least 3 different sources of word frequencies:
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Language Code GBooks SUBTLEX LeedsIC OpenSub Twitter Wikipedia
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──────────────────┼──────────────────────────────────────────────────
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Arabic ar │ - - Yes Yes Yes Yes
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German de │ - Yes Yes Yes Yes[1] Yes
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German de │ - Yes Yes - Yes[1] Yes
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Greek el │ - - Yes Yes Yes Yes
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English en │ Yes Yes Yes Yes Yes Yes
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Spanish es │ - - Yes Yes Yes Yes
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@ -225,9 +225,7 @@ sources:
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It contains data from various SUBTLEX word lists: SUBTLEX-US, SUBTLEX-UK, and
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SUBTLEX-CH, created by Marc Brysbaert et al. and available at
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http://crr.ugent.be/programs-data/subtitle-frequencies. SUBTLEX was first
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published in this paper:
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http://crr.ugent.be/programs-data/subtitle-frequencies.
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I (Rob Speer) have
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obtained permission by e-mail from Marc Brysbaert to distribute these wordlists
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@ -253,11 +253,9 @@ def subtlex_other_deps(dirname_in, languages):
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output_file = wordlist_filename('subtlex-other', language, 'counts.txt')
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textcol, freqcol = SUBTLEX_COLUMN_MAP[language]
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# Greek has three extra header lines for no reason
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if language == 'el':
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startrow = 5
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else:
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startrow = 2
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# Skip one header line by setting 'startrow' to 2 (because tail is 1-based).
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# I hope we don't need to configure this by language anymore.
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startrow = 2
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add_dep(
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lines, 'convert_subtlex', input_file, processed_file,
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