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    » Word Maturity: Computational Modeling of Word Knowledge
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    LREC
    2008
    90views Education» more  LREC 2008»
    Word Alignment Annotation in a Japanese-Chinese Parallel Corpus
    14 years 11 months ago
    Word Alignment Annotation in a Japanese-Chinese Parallel Corpus
    Download  www.lrec-conf.org
    Parallel corpora are critical resources for machine translation research and development since parallel corpora contain translation equivalences of various granularities. Manual a...
    Yujie Zhang, Zhulong Wang, Kiyotaka Uchimoto, Qing...
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    84
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    ACL
    2009
    89views Computational Linguistics» more  ACL 2009»
    Modeling Morphologically Rich Languages Using Split Words and Unstructured Dependencies
    14 years 7 months ago
    Modeling Morphologically Rich Languages Using Split Words and Unstructured Dependencies
    Download  www.aclweb.org
    We experiment with splitting words into their stem and suffix components for modeling morphologically rich languages. We show that using a morphological analyzer and disambiguator...
    Deniz Yuret, Ergun Biçici
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    NAACL
    2010
    154views Computational Linguistics» more  NAACL 2010»
    Multi-Prototype Vector-Space Models of Word Meaning
    14 years 7 months ago
    Multi-Prototype Vector-Space Models of Word Meaning
    Download  www.cs.utexas.edu
    Current vector-space models of lexical semantics create a single "prototype" vector to represent the meaning of a word. However, due to lexical ambiguity, encoding word ...
    Joseph Reisinger, Raymond J. Mooney
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    66
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    ICALT
    2009
    IEEE
    93views Machine Learning» more  ICALT 2009»
    Korean Word Associations: The Linked Structures for Language Learning
    15 years 4 months ago
    Korean Word Associations: The Linked Structures for Language Learning
    Download  dl.dp.hum.titech.ac.jp
    This paper reports on Korean Word Associations (KorWA) which were collected to construct a semantic network for Korean language. An approach of graph representation and network an...
    Jaeyoung Jung, Nobuyasu Makoshi, Hiroyuki Akama
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    EMNLP
    2008
    127views Natural Language Processing» more  EMNLP 2008»
    A Structured Vector Space Model for Word Meaning in Context
    14 years 11 months ago
    A Structured Vector Space Model for Word Meaning in Context
    Download  nlp.stanford.edu
    We address the task of computing vector space representations for the meaning of word occurrences, which can vary widely according to context. This task is a crucial step towards ...
    Katrin Erk, Sebastian Padó
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