MT for Minority Languages Using Elicitation-Based Learning of Syntactic Transfer RulesComputer Science Department
Date of Original Version8-1-2003
Abstract or DescriptionThe AVENUE project contains a run-time machine translation program that is surrounded by pre- and post-run-time modules. The post-run-time module selects among translation alternatives. The pre-run-time modules are concerned with elicitation of data and automatic learning of transfer rules in order to facilitate the development of machine translation between a language with extensive resources for natural language processing and a language with few resources for natural language processing. This paper describes the run-time transfer-based machine translation system as well as two of the pre-run-time modules: elicitation of data from the minority language and automated learning of transfer rules from the elicited data.
Citation InformationKatharina Probst, Lori Levin, Erik Peterson, Alon Lavie, et al.. "MT for Minority Languages Using Elicitation-Based Learning of Syntactic Transfer Rules" (2003)
Available at: http://works.bepress.com/jaime_carbonell/2/