Matches in ScholarlyData for { <https://w3id.org/scholarlydata/inproceedings/lrec2008/papers/594> ?p ?o. }
Showing items 1 to 14 of
14
with 100 items per page.
- 594 creator georgiana-dinu.
- 594 creator grzegorz-chrupala.
- 594 creator josef-van-genabith.
- 594 type InProceedings.
- 594 label "Learning Morphology with Morfette".
- 594 sameAs 594.
- 594 abstract "Morfette is a modular, data-driven, probabilistic system which learns to perform joint morphological tagging and lemmatization from morphologically annotated corpora. The system is composed of two learning modules which are trained to predict morphological tags and lemmas using the Maximum Entropy classifier. The third module dynamically combines the predictions of the Maximum-Entropy models and outputs a probability distribution over tag-lemma pair sequences. The lemmatization module exploits the idea of recasting lemmatization as a classification task by using class labels which encode mappings from word forms to lemmas. Experimental evaluation results and error analysis on three morphologically rich languages show that the system achieves high accuracy with no language-specific feature engineering or additional resources.".
- 594 hasAuthorList authorList.
- 594 hasTopic Linguistics.
- 594 isPartOf proceedings.
- 594 keyword "Acquisition, Machine Learning".
- 594 keyword "Morphology".
- 594 keyword "Statistical methods".
- 594 title "Learning Morphology with Morfette".