From 48f9d4520ca45f668bf808597720bc10c747e8e4 Mon Sep 17 00:00:00 2001 From: Robyn Speer Date: Tue, 8 Sep 2015 16:09:15 -0400 Subject: [PATCH] sort Jieba wordlists consistently; update data files Former-commit-id: 0ab23f8a28d7857efbac405ec55246b0a880cbee --- wordfreq/data/combined_ar.msgpack.gz | Bin 273411 -> 273178 bytes wordfreq/data/combined_de.msgpack.gz | Bin 186949 -> 186949 bytes wordfreq/data/combined_el.msgpack.gz | Bin 285393 -> 285393 bytes wordfreq/data/combined_en.msgpack.gz | Bin 130795 -> 130759 bytes wordfreq/data/combined_es.msgpack.gz | Bin 160586 -> 160586 bytes wordfreq/data/combined_fr.msgpack.gz | Bin 145363 -> 145363 bytes wordfreq/data/combined_id.msgpack.gz | Bin 150976 -> 150976 bytes wordfreq/data/combined_it.msgpack.gz | Bin 168294 -> 168294 bytes wordfreq/data/combined_ja.msgpack.gz | Bin 150072 -> 150150 bytes wordfreq/data/combined_ko.msgpack.gz | Bin 541177 -> 541177 bytes wordfreq/data/combined_ms.msgpack.gz | Bin 170318 -> 170318 bytes wordfreq/data/combined_nl.msgpack.gz | Bin 157078 -> 157078 bytes wordfreq/data/combined_pl.msgpack.gz | Bin 0 -> 284327 bytes wordfreq/data/combined_pt.msgpack.gz | Bin 155442 -> 155442 bytes wordfreq/data/combined_ru.msgpack.gz | Bin 295473 -> 295473 bytes wordfreq/data/combined_sv.msgpack.gz | Bin 0 -> 189757 bytes wordfreq/data/combined_tr.msgpack.gz | Bin 336786 -> 336051 bytes wordfreq/data/combined_zh.msgpack.gz | Bin 111308 -> 146709 bytes wordfreq/data/jieba_zh.txt | 4806 ++++++++--------- wordfreq/data/twitter_ar.msgpack.gz | Bin 287155 -> 287155 bytes wordfreq/data/twitter_de.msgpack.gz | Bin 227213 -> 227213 bytes wordfreq/data/twitter_el.msgpack.gz | Bin 619453 -> 619453 bytes wordfreq/data/twitter_en.msgpack.gz | Bin 114406 -> 114281 bytes wordfreq/data/twitter_es.msgpack.gz | Bin 141772 -> 141772 bytes wordfreq/data/twitter_fr.msgpack.gz | Bin 118276 -> 118276 bytes wordfreq/data/twitter_id.msgpack.gz | Bin 154649 -> 154649 bytes wordfreq/data/twitter_it.msgpack.gz | Bin 154724 -> 154724 bytes wordfreq/data/twitter_ja.msgpack.gz | Bin 140022 -> 140859 bytes wordfreq/data/twitter_ko.msgpack.gz | Bin 466315 -> 466315 bytes wordfreq/data/twitter_ms.msgpack.gz | Bin 153872 -> 153872 bytes wordfreq/data/twitter_nl.msgpack.gz | Bin 140414 -> 140414 bytes wordfreq/data/twitter_pl.msgpack.gz | Bin 0 -> 164476 bytes wordfreq/data/twitter_pt.msgpack.gz | Bin 117690 -> 117690 bytes wordfreq/data/twitter_ru.msgpack.gz | Bin 301689 -> 301689 bytes wordfreq/data/twitter_sv.msgpack.gz | Bin 0 -> 296862 bytes wordfreq/data/twitter_tr.msgpack.gz | Bin 320204 -> 320204 bytes .../wordfreq_builder/word_counts.py | 2 +- 37 files changed, 2404 insertions(+), 2404 deletions(-) create mode 100644 wordfreq/data/combined_pl.msgpack.gz create mode 100644 wordfreq/data/combined_sv.msgpack.gz create mode 100644 wordfreq/data/twitter_pl.msgpack.gz create mode 100644 wordfreq/data/twitter_sv.msgpack.gz diff --git a/wordfreq/data/combined_ar.msgpack.gz 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""" with open(filename, 'w', encoding='utf-8', newline='\n') as outfile: - items = sorted(freqs.items(), key=itemgetter(1), reverse=True) + items = sorted(freqs.items(), key=lambda item: (-item[1], item[0])) for word, freq in items: if HAN_RE.search(word): # Only store this word as a token if it contains at least one

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