Slide 1 Vamshi Ambati | Stephan Vogel | Jaime Carbonell Language Technologies Institute Carnegie Mellon University A ctive Learning and C rowd-Sourcing for Machine T ranslation…

Statistical XFER: Hybrid Statistical Rule-based Machine Translation Alon Lavie Language Technologies Institute Carnegie Mellon University Joint work with: Jaime Carbonell,…

Learning-based MT Approaches for Languages with Limited Resources Alon Lavie Language Technologies Institute Carnegie Mellon University Joint work with: Jaime Carbonell,…

Learning-based MT Approaches for Languages with Limited Resources Alon Lavie Language Technologies Institute Carnegie Mellon University Joint work with: Jaime Carbonell,…

The AVENUE Project: Bootstrapping MT Prototypes for Languages with Limited Resources Faculty: Alon Lavie, Jaime Carbonell, Lori Levin, Ralf Brown Students: Erik Peterson,…

1. INTRODUCTION Machine Translation is a great example of how cutting edge research and world class infrastructure come together at Google. We focus our research efforts…

Tailoring Word Alignments to Syntactic Machine Translation Learning Bilingual Lexicons from Monolingual Corpora Aria Haghighi, Percy Liang, Taylor Berg-Kirkpatrick and Dan…