[PDF] Top 20 An Unsupervised Method for Word Sense Tagging using Parallel Corpora
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An Unsupervised Method for Word Sense Tagging using Parallel Corpora
... Proceedings of the 40th Annual Meeting of the Association for Computational Linguistics ACL, Philadelphia, July 2002, pp... UWVXYTZMY[X\]^X`_RaMbdcH[[ebHYf]YgYh]Yh&iKY1\*hjbk_Rhlm`_Rl*Yn[r] ... See full document
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Translation-oriented Word Sense Induction Based on Parallel Corpora
... Word Sense Disambiguation (WSD) is an intermediate task that serves as a means to an end defined by the application in which it is to be ...the method and of the sense inventory ...predefined ... See full document
7
Brahmi Net: A transliteration and script conversion system for languages of the Indian subcontinent
... transliteration corpora from parallel trans- lation corpora using an unsupervised method and trained statistical transliteration systems using the mined ...have ... See full document
5
Fine Grained Word Sense Disambiguation Based on Parallel Corpora, Word Alignment, Word Clustering and Aligned Wordnets
... the parallel corpus, and that the quality of the inter-lingual linking is high for all languages ...off” method involving sense clustering based on translation equivalents, as discussed in (Ide, et ... See full document
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Parallel Algorithms for Unsupervised Tagging
... larger corpora sizes, DMLC yields the best re- ported performance on this task to ...new method is that it can easily scale to large corpora sizes and the distributed na- ture of the algorithm still ... See full document
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Unsupervised Most Frequent Sense Detection using Word Embeddings
... new Word Sense Disam- biguation (WSD) algorithm is its performance against the Most Frequent Sense ...requires sense annotated corpus in enormous amounts, which is out of bounds for most ... See full document
6
A Fully Unsupervised Word Sense Disambiguation Method Using Dependency Knowledge
... We followed the WSD process described in Sec- tion 2 and 3 using the WordNet 2.1 sense repository that is adopted by SemEval-2007 Task 07. All exper- iments were performed on a Pentium 2.33GHz dual core PC ... See full document
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Unsupervised False Friend Disambiguation Using Contextual Word Clusters and Parallel Word Alignments
... the sense disambiguation perspective, there have been several attempts to integrate word sense disambiguation (WSD) systems into the SMT framework in recent ...biguous word in the source ... See full document
10
Augmenting a Bilingual Lexicon with Information for Word Translation Disambiguation
... a method for augmenting a bilingual lexicon with additional in- formation for selecting an appropriate translation ...each word in the source language, we calculate a corre- lation matrix of its association ... See full document
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Unsupervised Word Sense Disambiguation Using Neighborhood Knowledge
... the word collection of a sentence, the semantic similarity between two sentences relies on word’s ...related using information drawn from semantic ...a word is represented by a synonym ...words ... See full document
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Contextual Modeling for Meeting Translation Using Unsupervised Word Sense Disambiguation
... above using Moses (Hoang and Koehn, ...this method worked better than the two built-in features in Moses for han- dling multiple translation ...the parallel corpora but not the external ... See full document
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Unsupervised Word Sense Disambiguation Using Bilingual Comparable Corpora
... A method for word sense disambiguation using a bilin- gual comparable corpus together with sense definitions by translations into another language was ...this method, knowledge ... See full document
7
Word Sense Acquisition from Bilingual Comparable Corpora
... distributional word clustering In conventional distributional word clustering, a word is characterized by a vector or weighted set consisting of words in the same language as that of the word ... See full document
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A Sense Topic Model for Word Sense Induction with Unsupervised Data Enrichment
... Word sense induction (WSI) seeks to automat- ically discover the senses of a word in a cor- pus via unsupervised ...a sense-topic model for WSI, which treats sense and topic as ... See full document
14
Using Parallel Corpora for Word Sense Disambiguation
... a method of lexical se- mantic disambiguation in multilingual corpora and describes the construction of an artifi- cial word-aligned and lexically disambiguated gold-standard corpus from an existing ... See full document
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Unsupervised Construction of Large Paraphrase Corpora: Exploiting Massively Parallel News Sources
... well using current SMT techniques. Based solely on the criterion of word AER, the L12 data would seem to be superior to the F2 data as a source of paraphrase ... See full document
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Unsupervised Word Sense Disambiguation with Multilingual Representations
... the word sense definitions and the given input context, which is primarily due to the small size of these definitions and the contexts, as well as to the diversity of ...the sense definitions under ... See full document
5
Extraction of Multi word Expressions from Small Parallel Corpora
... This work can be extended in various ways. While several works address the choice of asso- ciation measure for MWE identification and for distinguishing between MWEs and other frequent collocations, it is not clear which ... See full document
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Developing Parallel Sense tagged Corpora with Wordnets
... annotated corpora play an essen- tial role in natural language processing ...tagged corpora have achieved high quality and are widely ...notation, sense tagged parallel corpora develop ... See full document
10
Retrofitting Word Representations for Unsupervised Sense Aware Word Similarities
... results using sense-unaware simi- larities, ...new sense- aware similarities based on the JBT sense ...that sense-aware similarities per- form consistently better or comparable to their ... See full document
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