For a long time now I've wanted to see Moses on a small device. Apart from all of the extra functionality that isn't needed, one would also need to work on shrinking the phrase table and perhaps also the search graph. KenLM / RandLM already deal with making the language model smaller.
An interesting research question would be as follows: can we frame decoding on a small device in terms of a budget and optimise that budget? We normally don't bother thinking this way and instead focus entirely on quality. But it might be possible to instead have a better connection with the amount of space / search done and quality than we have already. I'm not sure if this is just a matter of fiddling with the beam size etc. Evince seems to suggest that this doesn't always give the expected behaviour (ie the relationship between BLEU and beam size isn't linear). Miles -- The University of Edinburgh is a charitable body, registered in Scotland, with registration number SC005336.
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