Enhancing Morphological Alignment for Translating Highly Inflected Languages

We propose an unsupervised approach utilizing only raw corpora to enhance morphological alignment involving highly inflected languages. Our method focuses on closed-class morphemes, modeling their influence on nearby words. Our languageindependent model recovers important links missing in the IBM Model 4 alignment and demonstrates improved end-toend translations for English-Finnish and English-Hungarian.

• Type: Journal
• Year: 2010
• Where: COLING
• Authors: Minh-Thang Luong, Min-Yen Kan
• Keywords: COLING 2010, Computational Linguistics, Morphological Alignment, Raw Corpora, Unsupervised Approach