Universal Derivations 1.0, A Growing Collection of Harmonised Word-Formation Resources

Kyjánek, Lukáš; Žabokrtský, Zdeněk; Ševčí­ková, Magda; Vidra, Jonáš

doi:10.14712/00326585.003

Cited by 8 publications

(8 citation statements)

References 13 publications

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“…UDer (Kyjánek et al, 2020) is a collection of individual monolingual resources of derivational morphology. Most of them have been carefully evaluated against their own datasets and offer high quality.…”

Section: Discussionmentioning

confidence: 99%

“…More recently, several projects have followed the approach of formalizing and/or integrating existing morphological data for multiple languages. UDer (Universal Derivations) (Kyjánek et al, 2020) integrates 27 derivational morphology resources in 20 languages. UniMorph (Kirov et al, 2016 and the Wikinflection Corpus (Metheniti and Neumann, 2020) rely mostly on Wiktionary from which they extract inflectional information.…”

Section: State Of the Artmentioning

confidence: 99%

See 1 more Smart Citation

MorphyNet: a Large Multilingual Database of Derivational and Inflectional Morphology

Batsuren¹,

Bella²,

Giunchiglia³

2021

Proceedings of the 18th SIGMORPHON Workshop on Computational Research in Phonetics, Phonology, and Morphology

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Large-scale morphological databases provide essential input to a wide range of NLP applications. Inflectional data is of particular importance for morphologically rich (agglutinative and highly inflecting) languages, and derivations can be used, e.g. to infer the semantics of out-of-vocabulary words. Extending the scope of state-of-the-art multilingual morphological databases, we announce the release of Mor-phyNet, a high-quality resource with 15 languages, 519k derivational and 10.1M inflectional entries, and a rich set of morphological features. MorphyNet was extracted from Wiktionary using both hand-crafted and automated methods, and was manually evaluated to be of a precision higher than 98%. Both the resource generation logic and the resulting database are made freely available 12 and are reusable as stand-alone tools or in combination with existing resources.

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Section: Discussionmentioning

confidence: 99%

Section: State Of the Artmentioning

confidence: 99%

MorphyNet: a Large Multilingual Database of Derivational and Inflectional Morphology

Batsuren¹,

Bella²,

Giunchiglia³

2021

Proceedings of the 18th SIGMORPHON Workshop on Computational Research in Phonetics, Phonology, and Morphology

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“…Universal Derivations (UDer, Kyjánek et al, 2019) proposes a unified scheme for derivational morphology. The Turkish part of the project uses EtymWordNet (de Melo and Weikum, 2010) as a resource.…”

Section: Lexical Resourcesmentioning

confidence: 99%

Resources for Turkish Natural Language Processing: A critical survey

Çöltekin¹,

Doğruöz²,

Çetinoğlu³

2022

Preprint

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This paper presents a comprehensive survey of corpora and lexical resources available for Turkish. We review a broad range of resources, focusing on the ones that are publicly available. In addition to providing information about the available linguistic resources, we present a set of recommendations, and identify gaps in the data available for conducting research and building applications in Turkish Linguistics and Natural Language Processing.

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“…Compared to state-of-the-art derivational resources (Vidra et al, 2019;Kyjánek et al, 2019), this dataset provides explicit morphemes between source and target word forms. With these morphemes, subword tokenization (Sennrich et al, 2016;Mielke et al, 2021) can be advanced to dictionary-based morpheme segmentation for derivationally rich languages like English and French.…”

Section: Derivational Morphologymentioning

confidence: 99%

UniMorph 4.0: Universal Morphology

Batsuren¹,

Goldman²,

Khalifa³

et al. 2022

Preprint

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The Universal Morphology (UniMorph) project is a collaborative effort providing broad-coverage instantiated normalized morphological inflection tables for hundreds of diverse world languages. The project comprises two major thrusts: a languageindependent feature schema for rich morphological annotation and a type-level resource of annotated data in diverse languages realizing that schema. This paper presents the expansions and improvements made on several fronts over the last couple of years (since McCarthy et al. (2020)). Collaborative efforts by numerous linguists have added 67 new languages, including 30 endangered languages. We have implemented several improvements to the extraction pipeline to tackle some issues, e.g. missing gender and macron information. We have also amended the schema to use a hierarchical structure that is needed for morphological phenomena like multiple-argument agreement and case stacking, while adding some missing morphological features to make the schema more inclusive. In light of the last UniMorph release, we also augmented the database with morpheme segmentation for 16 languages. Lastly, this new release makes a push towards inclusion of derivational morphology in UniMorph by enriching the data and annotation schema with instances representing derivational processes from MorphyNet.

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Universal Derivations 1.0, A Growing Collection of Harmonised Word-Formation Resources

Cited by 8 publications

References 13 publications

MorphyNet: a Large Multilingual Database of Derivational and Inflectional Morphology

MorphyNet: a Large Multilingual Database of Derivational and Inflectional Morphology

Resources for Turkish Natural Language Processing: A critical survey

UniMorph 4.0: Universal Morphology

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