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Word Graphs

For various applications, it is useful to view the space of all possible (or probable) translations as a word graph in which each path constitutes one possible translation.

Word Graphs is the main subject of 4 publications.

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The generation of word graphs from the search graph of the decoding process is first described by Ueffing et al. (2002), Zens and Ney (2005) describes additional pruning methods to achieve a more compact graph. Word graphs may converted into confusion networks or mined for n-best lists. Alternatively, the n-list may be extended with additional candidate translation generated with a language model that is trained on the n-best list (Chen et al., 2007) or from overlapping n-grams in the original n-best list (Chen et al., 2008).

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