GitHub - estraier/tkrzw-dict: Word dictionary based on DBM

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Name		Name	Last commit message	Last commit date
Latest commit History 741 Commits
chrome-union-dict-v1		chrome-union-dict-v1
chrome-union-dict-v2		chrome-union-dict-v2
doc		doc
CONTRIBUTING.md		CONTRIBUTING.md
COPYING		COPYING
README		README
append_wordnet_example.py		append_wordnet_example.py
append_wordnet_jpn.py		append_wordnet_jpn.py
attach_union_examples.py		attach_union_examples.py
build_union_db.py		build_union_db.py
build_wordnet_db.py		build_wordnet_db.py
check_related_words.py		check_related_words.py
classify_words.py		classify_words.py
cluster_words.py		cluster_words.py
count_cooccurrences.py		count_cooccurrences.py
count_ngram_phrases.py		count_ngram_phrases.py
count_para_domain_phrases.py		count_para_domain_phrases.py
count_wikipedia.py		count_wikipedia.py
divide_cooccurrences.py		divide_cooccurrences.py
divide_ngram_phrases.py		divide_ngram_phrases.py
dump_wiktionry_trans.py		dump_wiktionry_trans.py
edit_union.cgi		edit_union.cgi
extract_para_domain_trans.py		extract_para_domain_trans.py
extract_union_aoa_ranks.py		extract_union_aoa_ranks.py
extract_union_examples.py		extract_union_examples.py
extract_union_features.py		extract_union_features.py
extract_union_feedback_tran.py		extract_union_feedback_tran.py
extract_union_good_words.py		extract_union_good_words.py
extract_union_inflections.py		extract_union_inflections.py
extract_union_keys.py		extract_union_keys.py
extract_union_pronunciations.py		extract_union_pronunciations.py
extract_union_source.py		extract_union_source.py
extract_union_synonyms.py		extract_union_synonyms.py
extract_union_tran_keys.py		extract_union_tran_keys.py
extract_union_tran_thes.py		extract_union_tran_thes.py
extract_wordnet_tsv.py		extract_wordnet_tsv.py
generate_annot_kindle.py		generate_annot_kindle.py
generate_parallel_kindle.py		generate_parallel_kindle.py
generate_union_epub.py		generate_union_epub.py
generate_union_kindle_enja.py		generate_union_kindle_enja.py
generate_union_kindle_jaen.py		generate_union_kindle_jaen.py
generate_union_web_vocab.py		generate_union_web_vocab.py
index_parasentences.py		index_parasentences.py
index_union_infl.py		index_union_infl.py
index_union_tran.py		index_union_tran.py
index_wordnet_tran.py		index_wordnet_tran.py
make_supplement_from_jaen_gloss.py		make_supplement_from_jaen_gloss.py
make_wiktionary_gloss_jaen.py		make_wiktionary_gloss_jaen.py
make_wiktionary_reverse_tran.py		make_wiktionary_reverse_tran.py
make_wiktionary_tran_jaen.py		make_wiktionary_tran_jaen.py
organize_para_domain_trans.py		organize_para_domain_trans.py
package_epub.sh		package_epub.sh
parse_wikipedia.py		parse_wikipedia.py
parse_wiktionary_en.py		parse_wiktionary_en.py
parse_wiktionary_ja.py		parse_wiktionary_ja.py
quiz_aoa.cgi		quiz_aoa.cgi
quiz_pron.cgi		quiz_pron.cgi
score_cooccurrences.py		score_cooccurrences.py
search_union.py		search_union.py
search_wordnet.py		search_wordnet.py
tkrzw_dict.py		tkrzw_dict.py
tkrzw_pron_util.py		tkrzw_pron_util.py
tkrzw_related_word_predictor.py		tkrzw_related_word_predictor.py
tkrzw_tokenizer.py		tkrzw_tokenizer.py
tkrzw_union_searcher.py		tkrzw_union_searcher.py
tkrzw_wordnet_searcher.py		tkrzw_wordnet_searcher.py
tokenize_text.py		tokenize_text.py

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================================================================
 Tkrzw-Dict: Word dictionary based on DBM
================================================================

Please read the following documents.

  COPYING           - license
  CONTRIBUTING.md   - how to contribute
  doc/index.xhtml   - main document

To use this package in general, the following software is necessary.

  Tkrzw:
    Install the source package.  See https://dbmx.net/tkrzw/ .

  regex:
    Install pip3 and run "pip3 install regex".

To run tokenize_text.py, the following software is necessary.

  NLTK:
    For Ubuntu, run "apt-get install python3-nltk".
    Then, kick the interactive installation for data packates.
      $ python3
      >>> import nltk
      >>> nltk.download('punkt')
      >>> nltk.download('wordnet')
      >>> nltk.download('averaged_perceptron_tagger')

  MeCab:
    For Ubuntu, run "apt-get install mecab mecab-ipadic-utf8 libmecab2-dev python3-mecab".

To build WordNet databases, WordNet 3.0 and Japanese WordNet 1.1 are necessary.

Thanks.

== END OF FILE ==