Learning a Lexicalized Grammar for German


In syntax, the trend nowadays is towards lexicalized grammar formalisms. It is now widely accepted that dividing words into wordclasses may serve as a labor-saving mechanism but at the same time, i t discards all detailed information on the idiosyncratic behavior of words. And that is exactly the type of information that may be necessary in order to parse a sentence. For learning approaches, however, lexicalized grammars represent a challenge for the very reason that they include so much detailed and specific information, which is difficult to learn. This paper will present an algorithm for learning a link grammar of German. The problem of data sparseness is tackled by using all the available information from partial parses as well as from an existing grammar fragment and a tagger. This is a report about work in progress so there are no representative results available yet.

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@inproceedings{Kbler1998LearningAL, title={Learning a Lexicalized Grammar for German}, author={Sandra K{\"{u}bler}, booktitle={CoNLL}, year={1998} }