Target Language Preposition Selection - an Experiment with Transformation-Based Learning and Aligned Bilingual Data
Ebba Gustavii · 2005
Abstract. The translation of prepositions is often considered one of the more difficult tasks within the field of machine translation. We describe an experiment using transformation-based learning to induce rules to select the appropriate target language preposition from aligned bilingual data. Results show an accuracy of 84.9%, to be compared with a baseline of 75.5%, where the most frequent translation alternative is always chosen. 1.