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Accurate Cross-lingual Projection between Count-based Word Vectors by Exploiting Translatable Context Pairs
Shonosuke Ishiwatari
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Nobuhiro Kaji
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Naoki Yoshinaga
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Masashi Toyoda
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Masaru Kitsuregawa
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Paper Details:
Month: July
Year: 2015
Location: Beijing, China
Venue:
CoNLL |
SIG: SIGNLL
Citations
URL
Segmentation-Free Word Embedding for Unsegmented Languages
Takamasa Oshikiri
|
http://dumps.wikimedia.org/
https://github.com/yohasebe/wp2txt/
http://taku910.github.io/mecab/
http://nlp.stanford.edu/software/segmenter.shtml
http://nlp.stanford.edu/software/tagger.shtml
http://www.clips.ua.ac.be/pages/pattern
http://compling.hss.ntu.edu.sg/omw/
https://code.google.com/p/word2vec/
Field Of Study
Linguistic Trends
Discourse
Task
Information Retrieval
Machine Translation
Approach
Representation Learning
Language
Multilingual
Chinese
English
Japanese
Spanish
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