About: Robust Multilingual Statistical Morphological Generation Models     Goto   Sponge   NotDistinct   Permalink

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Description
  • We present a novel method of statistical morphological generation, i.e. the prediction of inflected word forms given lemma, part-of-peech and morphological features, aimed at robustness to unseen inputs. Our system uses a trainable classifier to predict %22edit scripts%22 that are then used to transform lemmas into inflected word forms. Suffixes of lemmas are included as features to achieve robustness. We evaluate our system on 6 languages with a varying degree of morphological richness. The results show that the system is able to learn most morphological phenomena and generalize to unseen inputs, producing significantly better results than a dictionary-based baseline.
  • We present a novel method of statistical morphological generation, i.e. the prediction of inflected word forms given lemma, part-of-peech and morphological features, aimed at robustness to unseen inputs. Our system uses a trainable classifier to predict %22edit scripts%22 that are then used to transform lemmas into inflected word forms. Suffixes of lemmas are included as features to achieve robustness. We evaluate our system on 6 languages with a varying degree of morphological richness. The results show that the system is able to learn most morphological phenomena and generalize to unseen inputs, producing significantly better results than a dictionary-based baseline. (en)
Title
  • Robust Multilingual Statistical Morphological Generation Models
  • Robust Multilingual Statistical Morphological Generation Models (en)
skos:prefLabel
  • Robust Multilingual Statistical Morphological Generation Models
  • Robust Multilingual Statistical Morphological Generation Models (en)
skos:notation
  • RIV/00216208:11320/13:10194629!RIV14-MSM-11320___
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  • P(LK11221)
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  • 103165
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  • RIV/00216208:11320/13:10194629
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  • models; generation; morphological; statistical; multilingual; robust (en)
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  • [DDBD36471EBB]
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  • Sofija, Bulgaria
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  • Sofija, Bulgaria
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  • 51st Annual Meeting of the Association for Computational Linguistics Proceedings of the Student Research Workshop
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  • Dušek, Ondřej
  • Jurčíček, Filip
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number of pages
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  • Association for Computational Linguistics
https://schema.org/isbn
  • 978-1-937284-53-4
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  • 11320
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