We present the machine learning framework that we are developing, in order to support explorative search for non-trivial linguistic configurations in low-density languages (langua...
Building NLG systems, in particular statistical ones, requires parallel data (paired inputs and outputs) which do not generally occur naturally. In this paper, we investigate the ...
In this paper, we will address term translation extraction from indexed aligned parallel corpora, by using a couple of association measures combined by a voting scheme, for scaling...
Traditionally, statistical machine translation systems have relied on parallel bi-lingual data to train a translation model. While bi-lingual parallel data are expensive to genera...
Matthew G. Snover, Bonnie J. Dorr, Richard M. Schw...
This work introduces a method for instrumenting applications, producing execution traces, and visualizing multiple trace instances to identify performance features. The approach p...