Project overview: Of the many diverse world languages, very few are within reach of current natural language processing (NLP) and machine translation (MT) techniques. While mainstream approaches fail to generalize for most languages due to the lack of resources (e.g. text, annotations ...etc), our approach is designed to discover and leverage deep syntactic and semantic structures elicited from human experts.
Focus languages: Malagasy, Kinyarwanda and Swahili.
- September 2013: Two publications accepted at EMNLP 2013 on translation into morphologically rich languages and dependency-based decipherment.
- August 2013: An improved Kinyarwanda morphological analyzer has been released!
- July 2013: A paper on synthetic translation options accepted at WMT 2013.
- April 2013: Three publications accepted at ACL 2013 on POS tagging, transfer learning of grammars and parsing graphs.
- March 2013: Cross-site technical meeting at Pittsburgh, PA to follow up on collaboration projects.
- February 2013: Four publications accepted at NAACL 2013 on word alignment, POS tagging, large-scale discriminative training, and language modeling.