Word-sense disambiguation

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:

1. Something you use to write with
2. 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. 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

• Ide, N. and Véronis, J. (1998) "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