@inproceedings{corston-oliver2004normalizing,
author = {Corston-Oliver, Simon and Gamon, Michael},
title = {Normalizing German and English Inflectional Morphology to Improve Statistical Word Alignment},
year = {2004},
month = {October},
abstract = {German has a richer system of inflectional morphology than English, which causes problems for current approaches to statistical word alignment. Using Giza++ as a reference implementation of the IBM Model 1, an HMM-based alignment and IBM Model 4, we measure the impact of normalizing inflectional morphology on German-English statistical word alignment. We demonstrate that normalizing inflectional morphology improves the perplexity of models and reduces alignment errors.},
publisher = {Association for Machine Translation in the Americas},
url = {http://approjects.co.za/?big=en-us/research/publication/normalizing-german-and-english-inflectional-morphology-to-improve-statistical-word-alignment/},
}