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Multilingual Dependency Parsing, the first assignment for NLP class on coursera.

There are three scripts you can use, parse.py, train_models.py and verify.py parse.py is used for parsing sentences into Dependency Graph. It can be used as follows: cat inputfile | python parse.py language.model > output.conll you have to create inputfile that contains languages you want to parse.

And the language.model file will be generated by running the train_models.py script. you can run the scripts as follow: python train_models.py [lang1 lang2 lang3] if you didn't type any language, it will train all of the languages.

You can also verify the models we have tuned by using the scripts: python verify.py [lang1 lang2 lang3] if you didn't type any language, it will verify all of the languages.

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Assignment 1, Multilingual Dependency Parsing, for coursera NLP class.

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