El dc 15 de 01 de 2014 a les 09:09 -0800, en/na Alex Aruj va escriure: > Thanks Francis. Have any students been working on machine learning > applications within the Apertium framework?
Yes, there is: apertium-tagger-training-tools: Machine learning of better taggers using target-language information apertium-transfer-tools: Machine learning of transfer rules using parallel corpora apertium-lex-tools: Machine learning of lexical selection rules using both monolingual and parallel corpora. > Is machine learning now synonymous with statistical machine > translation? I don't think so. There are plenty of ways to apply machine learning techniques to rule-based machine translation. > Do you think this task described in the ideas page would be a good > candidate for a machine learning algorithm: > > > Apertium assimilation evaluation toolkit No, I don't think that this would be a good candidate for a machine learning algorithm. Some of the ideas that would require machine learning would be: Corpus-based lexicalised feature transfer Improvements in lexical-selection module Accent and diacritic restoration There may be more tasks in the future. > Lastly, I can't remember or access information on alternative ways to > view Apertium other than through Apertium Viewer (I am using Mac). You can use the command line :) Fran ------------------------------------------------------------------------------ CenturyLink Cloud: The Leader in Enterprise Cloud Services. Learn Why More Businesses Are Choosing CenturyLink Cloud For Critical Workloads, Development Environments & Everything In Between. Get a Quote or Start a Free Trial Today. http://pubads.g.doubleclick.net/gampad/clk?id=119420431&iu=/4140/ostg.clktrk _______________________________________________ Apertium-stuff mailing list [email protected] https://lists.sourceforge.net/lists/listinfo/apertium-stuff
