Translating with Scarce Resources

Current corpus-based machine translation techniques do not work very well when given scarce linguistic resources. To examine the gap between human and machine translators, we created an experiment in which human beings were asked to translate an unknown language into English on the sole basis of a very small bilingual text. Participants performed quite well, and debriefings revealed a number of valuable strategies. We discuss these strategies and apply some of them to a statistical translation system.

• Type: Conference
• Year: 2000
• Where: AAAI
• Authors: Yaser Al-Onaizan, Ulrich Germann, Ulf Hermjakob, Kevin Knight, Philipp Koehn, Daniel Marcu, Kenji Yamada
• Keywords: AAAI 2000, Corpus-based Machine Translation, Intelligent Agents, Scarce Linguistic Resources, Small Bilingual Text