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AbstractThis paper is a description of the system presented by the LIG laboratory to the IWSLT07 speech translation evaluation. The LIG participated, for the first time this year, in the …...

System combination has emerged as a powerful method for machine translation (MT). This paper pursues a joint optimization strategy for combining outputs from multiple MT systems, where word alignment, ordering, …...

This paper describes the augmented three- pass system combination framework of the Dublin City University (DCU) MT group for the WMT 2010 system combi- nation task. The basic three-pass frame- …...

This paper investigates the impact of mis- spelled words in statistical machine transla- tion and proposes an extension of the transla- tion engine for handling misspellings. The en- hanced system …...

The state-of-the-art system combination method for machine translation (MT) is based on confusion networks constructed by aligning hypotheses with regard to word similarities. We introduce a novel system combination framework …...

In this paper, we enhance the traditional confusion network system combination approach with an additional model trained by a neural network. This work is moti- vated by the fact that …...

AbstractGrapheme-to-Phoneme (G2P) has many applications in NLP and speech fields. Most existing work focuses heavily on languages with abundant training datasets, which limits the scope of target languages to less …...