Word-sense disambiguation - Revision history

Unhammer at 10:38, 7 September 2012

2012-09-07T10:38:56Z

2012-09-07T09:44:39Z

2012-03-30T11:39:58Z

Category:Documentation in English

2012-03-19T15:26:51Z

2010-10-22T13:26:07Z

Added a book link

2010-04-03T08:52:22Z

lexsel is subcat of development

2009-06-06T16:04:54Z

2009-06-06T16:04:36Z

2009-05-20T14:44:58Z

Lextor

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-'''Word sense disambiguation''' is important in machine translation between less-closely related languages. The problem was elucidated most famously by Yehoshua Bar-Hillel, who asks us to consider the following sentence:
+'''Word sense disambiguation''' means choosing between two ''meanings'' of the same word (we assume we already know the part of speech). This can be important in machine translation between less-closely related languages. The problem was elucidated most famously by Yehoshua Bar-Hillel, who asks us to consider the following sentence:
 :Little John was looking for his toy box. Finally he found it. The box was in the pen.
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 To a human, the meaning is obvious, but Bar-Hillel claimed that without a "universal encyclopaedia" a machine would never be able to deal with this problem. Figuring out which sense to use when a word is ambiguous is called ''word sense disambiguation'', and is a big research area.
+However, importantly, many of the possible meanings and nuances identified by lexicographers ''do not affect machine translation''. E.g. the English term ''hospital'' can refer to both an organisation and a concrete building, but regardless of which meaning is used in a sentence, in Norwegian it still becomes ''sjukehus''. Thus we use the term '''lexical selection''' when we speak of those word senses that matter to MT. More on this in the article [[Lexical selection]].
-* [[Lexical selection]]

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 To a human, the meaning is obvious, but Bar-Hillel claimed that without a "universal encyclopaedia" a machine would never be able to deal with this problem. Figuring out which sense to use when a word is ambiguous is called ''word sense disambiguation'', and is a big research area.
+* [[Lexical selection]]
-==Lextor==
-{{main|Lextor}}
-Lextor is the current word sense disambiguation module for Apertium, it works using statistics and requires 1) slightly pre-processed dictionaries and 2) corpora to train the module. '''The module is turned off in most cases as it does not provide an improvement over the baseline.'''
-==See also==
-* [[Lexical selection in target language]]
-* [[Limited rule-based lexical selection]]
 ==Further reading==

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	[[Category:Lexical selection]]		[[Category:Lexical selection]]
			[[Category:Documentation in English]]

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 * Ide, N. and Véronis, J. (1998) "[http://www.up.univ-mrs.fr/~veronis/pdf/1998wsd.pdf Word Sense Disambiguation: The State of the Art]". ''Computational Linguistics'' 24(1)
-* Agirre, E. and Edmonds, P., editors (2007). "Word Sense Disambiguation: Algorithms and Applications". Volume 33 of ''Text, Speech and Language Technology''
+* Agirre, E. and Edmonds, P., editors (2007). "[http://ftsp.mercubuana.ac.id/30/J07-2005.pdf Word Sense Disambiguation: Algorithms and Applications"]. Volume 33 of ''Text, Speech and Language Technology''
 * Navigli, R. (2009) [http://www.dsi.uniroma1.it/~navigli/pubs/ACM_Survey_2009_Navigli.pdf Word Sense Disambiguation: A Survey]. ''ACM Comput. Surv.'' 41, 2, Article 10

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 * Navigli, R. (2009) [http://www.dsi.uniroma1.it/~navigli/pubs/ACM_Survey_2009_Navigli.pdf Word Sense Disambiguation: A Survey]. ''ACM Comput. Surv.'' 41, 2, Article 10
-[[Category:Development]]
 [[Category:Lexical selection]]

← Older revision	Revision as of 15:26, 19 March 2012
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