Hello Matthias, could you give us an idea what is missing in the CSLM reranker to make it work for sparse features ?
Right now, we do not parse the names of the feature functions and store the numerical values only. In principle, this could changed ... Then it depends how you want to rescore the sparse features. The CSLM toolkit can rescore with an back-off LM and Moses on-disk phrase tables (and obviously neural networks). Why not adding more functionality ... - Holger On 03/27/2015 11:42 PM, Matthias Huck wrote: > Hi, > > I'm looking for a tool to rerank n-best lists in Moses' current format, > including sparse features. The CSLM toolkit has quite a nice re-ranker > implementation, but apparently it doesn't know sparse features yet. > > If anyone already has an extended version of the existing re-ranker from > the CSLM toolkit, or alternatively any other code that does the same and > can also deal with sparse features, please let me know. I'd prefer to > not spend any time at all on implementing this myself, as I'll probably > need to run it only a few times for testing purposes. > > Cheers, > Matthias > > >> On 29 Apr 20:46 2013, Holger Schwenk wrote: >> >> Hello, >> >> you can do n-best list rescoring with the nbest tool which is part of >> the CSLM toolkit (http://www-lium.univ-lemans.fr/~cslm/) >> It is designed to rescore with back-off or continuous space LMs, but is >> shouldn't be difficult to add your won feature functions. >> >> don't ask to contact me if you need help. >> >> best, >> >> Holger > > _______________________________________________ Moses-support mailing list [email protected] http://mailman.mit.edu/mailman/listinfo/moses-support
