In this paper, we report on a set of initial results for English-to-Arabic Statistical Machine Translation (SMT). We show that morphological decomposition of the Arabic source is ...
We propose an approach to Machine Translation that combines the ideas and methodologies of the Example-Based and Lexicalist theoretical frameworks. The approach has been implement...
Davide Turcato, Paul McFetridge, Fred Popowich, Ja...
In this paper, we present the concept for collaborative translation, where two non-bilingual people who use different languages collaborate to perform the task of translation usin...
The Pangloss Example-Based Machine Translation engine (I'anEI3MT) l is a translation system reql,iring essentially no knowledge of the structure of a language, merely a large...
We describe a method for the fully automatic learning of hierarchical finite state translation models. The input to the method is transcribed speech utterances and their correspon...