Abstract
Word alignment is a challenging task aiming at the identification of translational relations between words and multi-word units in parallel corpora. Many alignment strategies are based on links between single words. Different strategies can be used to find the optimal word alignment using such one-to-one word links including relations between multi-word units. In this paper seven algorithms are compared using a word alignment approach based on association clues and an English-Swedish bitext together with a handcrafted reference alignment used for evaluation.
Cite
CITATION STYLE
Tiedemann, J. (2004). Word to word alignment strategies. In COLING 2004 - Proceedings of the 20th International Conference on Computational Linguistics. Association for Computational Linguistics (ACL). https://doi.org/10.3115/1220355.1220386
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.