Dear Moses-Team, I am trying to translate two short sentences included in the same file from German into English using a “Phrase-based Model”. The first sentence (das auto wurde verkauft) is translated correctly, while the second is partly translated:
I receive as a result for “ich habe das auto verkauft” Ich|UNK|UNK|UNK habe|UNK|UNK|UNK the car sold [11111] [total=-203.330] core=(-200.000, -5.000, 5.000, 0.000, 0.000, 0.000, 0.000, 0.000, -18.660) I tried to modify the training data in different ways, and at last included the exact sentence (along with its translation) in the training data (see attachment). But, I still get the same result. Do I need to use a “Factored Translation Model” instead of the “Phrase-based Model” to be able to translate this sentence? If yes, I find here http://www.statmt.org/moses/?n=Moses.FactoredTutorial explanation of how to train Factored Models. Could you please tell me, where can I find information about 1. how to prepare the training data with additional factors, before training the Factored Model? 2. how to train the Language Model that considers the POS? I currently use KenLM and Giza++. Thanks a lot for your support. Kind regards, Shaimaa
Training data.docx
Description: MS-Word 2007 document
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