Difference between revisions of "Word-sense disambiguation"
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:Little John was looking for his toy box. Finally he found it. The box was in the pen. |
:Little John was looking for his toy box. Finally he found it. The box was in the pen. |
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The word pen may have two meanings: |
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The word pen may have two meanings, the first being, "something you use to write with", the second being, "a container of some kind". To a human, the meaning is obvious, but Bar-Hillel claimed that without a "universal encyclopedia" a machine would never be able to deal with this problem. |
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#Something you use to write with |
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#A container of some kind |
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==Lextor== |
==Lextor== |
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Revision as of 15:34, 11 August 2007
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:
- Little John was looking for his toy box. Finally he found it. The box was in the pen.
The word pen may have two meanings:
- Something you use to write with
- A container of some kind
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.
Lextor
- Main article: 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. For more information see the main page.
Further reading
- Ide, N. and Véronis, J. (1998) "Word Sense Disambiguation: The State of the Art". Computational Linguistics 24(1)
