Hi everyone, We want to improve apertium-ambiguous for getting more better result, there are more than options for that, either by improve it linguistically or using new learning method.
The first solutions is possible in such cases: 1- pretty time (for adding more vocabulary and write transfer rules ), as I understand all Oguz Turkic group and some of languages in Kipchak group, I can choose one system and improve it, but based on my experiments, this can improve the system in case there is much more of ambiguous rules and 0 out of vocabulary, also if I have have time. 2- using new learning method, this can be in step replace it with maximum entropy, we talked with Aboelhamd for using scikit-learn, but didn't decide a good formulation for our problem, yet. Dear apertiumer, we want to hear your suggestions for choosing new method instead of maximum entropy. Best wishes, Sevilay
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