Research output per year
Research output per year
Abstract
Morfette is a tool for supervised learning of inflectional morphology. Given a corpus of sentences annotated with lemmas and morphological labels, and optionally a lexicon, morfette learns how to morphologically analyse new sentences.
In the learning stage Morfette fits two separate models: one for morphological tagging and one for lemmatization. The predictions of the models are combined dynamically and produce a globally plausible sequence of morphological-tag - lemma pairs for a sentence.
In Morfette lemmatization is cast as a classification task where a a lemmatization class corresponds to the specification of the edit operations which are needed to transform the inflected word form into the corresponding lemma.
In the learning stage Morfette fits two separate models: one for morphological tagging and one for lemmatization. The predictions of the models are combined dynamically and produce a globally plausible sequence of morphological-tag - lemma pairs for a sentence.
In Morfette lemmatization is cast as a classification task where a a lemmatization class corresponds to the specification of the edit operations which are needed to transform the inflected word form into the corresponding lemma.
| Original language | Dutch |
|---|---|
| Media of output | Online |
| Publication status | Published - 2010 |
| Externally published | Yes |
Research output
- 1 Conference contribution
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Learning morphology with Morfette
Chrupala, G. A., Dinu, G. & van Genabith, J., 2008, Proceedings of the Sixth International Conference on Language Resources and Evaluation (LREC'08).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review