In recent work, we proposed an alternative to parallel text as translation model (TM) training data: audio recordings of parallel speech (pSp), as it occurs in any communication s...
In this paper we investigate the challenges of applying statistical machine translation to meeting conversations, with a particular view towards analyzing the importance of modeli...
Semantic web services hold the promise of greatly increasing interoperability among software agents and web services by enabling content-based (as opposed to format-based) automat...
A major obstacle to the construction of a probabilistic translation model is the lack of large parallel corpora. In this paper we first describe a parallel text mining system that...
In this paper, we consider the problem of composing a set of web services, where the requirements are specified in terms of the input and output messages of the composite workfl...