Memory-Based Learning of Word Translation
Maria Holmqvist · DSpace repository (University of Tartu) · 2007
A basic task in machine translation is to choose the right translation for source words with several possible translations in the target language.In this paper we treat word translation as a word sense disambiguation problem and train memory-based classifiers on words with alternative translations.The training data was automatically labeled with the corresponding translations by word-aligning a parallel corpus.Results show that many words were translated with accuracy above the baseline.1 E.g., exemplar-based or instance-based learning.