Enriching Morphologically Poor Languages for Statistical Machine Translation

We address the problem of translating from morphologically poor to morphologically rich languages by adding per-word linguistic information to the source language. We use the syntax of the source sentence to extract information for noun cases and verb persons and annotate the corresponding words accordingly. In experiments, we show improved performance for translating from English into Greek and Czech. For English

• Type: Conference
• Year: 2008
• Where: ACL
• Authors: Eleftherios Avramidis, Philipp Koehn
• Keywords: ACL 2008, Computational Linguistics, Noun Case, Per-word Linguistic Information, Rich Languages