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Automatic translation and multilingual cultural heritage retrieval: a case study with transcriptions in Europeana (report) ...
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Distributed representations for multilingual language processing ...
Dufter, Philipp. - : Ludwig-Maximilians-Universität München, 2021
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Automatic translation and multilingual cultural heritage retrieval: a case study with transcriptions in Europeana (poster) ...
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Automatic translation and multilingual cultural heritage retrieval: a case study with transcriptions in Europeana (dataset) ...
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Automatic translation and multilingual cultural heritage retrieval: a case study with transcriptions in Europeana (poster) ...
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Automatic translation and multilingual cultural heritage retrieval: a case study with transcriptions in Europeana (dataset) ...
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Automatic translation and multilingual cultural heritage retrieval: a case study with transcriptions in Europeana (report) ...
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8
How Agricultural Digital Innovation Can Benefit from Semantics: The Case of the AGROVOC Multilingual Thesaurus
In: Engineering Proceedings ; Volume 9 ; Issue 1 (2021)
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SemEval-2021 Task 2: Multilingual and Cross-lingual Word-in-Context Disambiguation (MCL-WiC) ...
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SemEval-2021 Task 2: Multilingual and Cross-lingual Word-in-Context Disambiguation (MCL-WiC) ...
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11
Sustaining Multilinguality: Case Studies of Two Multilingual Digital Libraries
Wu, Anping. - : University of North Texas, 2021
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12
Multi-SimLex: A Large-Scale Evaluation of Multilingual and Cross-Lingual Lexical Semantic Similarity
In: ISSN: 0891-2017 ; EISSN: 1530-9312 ; Computational Linguistics ; https://hal.archives-ouvertes.fr/hal-02975786 ; Computational Linguistics, Massachusetts Institute of Technology Press (MIT Press), 2020, 46 (4), pp.847-897 ; https://direct.mit.edu/coli/article/46/4/847/97326/Multi-SimLex-A-Large-Scale-Evaluation-of (2020)
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WinoST: Evaluating Gender Bias in Speech Translation ...
Costa-Jussa, Marta R.. - : Zenodo, 2020
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WinoST: Evaluating Gender Bias in Speech Translation ...
Costa-Jussa, Marta R.. - : Zenodo, 2020
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15
Multilinguale Herausforderungen in der Sacherschließung ...
Fallert, Sarah. - : Humboldt-Universität zu Berlin, 2020
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16
Forschungsdokumentation zur Studie "Multilinguale Herausforderungen in der Sacherschließung - ein Retrievaltest an einem mehrsprachigen Bibliotheksbestand" ...
Fallert, Sarah. - : Humboldt-Universität zu Berlin, 2020
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17
Forschungsdokumentation zur Studie "Multilinguale Herausforderungen in der Sacherschließung - ein Retrievaltest an einem mehrsprachigen Bibliotheksbestand"
Fallert, Sarah. - : Humboldt-Universität zu Berlin, 2020
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18
Multilinguale Herausforderungen in der Sacherschließung
Fallert, Sarah. - : Humboldt-Universität zu Berlin, 2020
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19
UniMorph 3.0: Universal Morphology
In: Proceedings of the 12th Language Resources and Evaluation Conference (2020)
Abstract: The Universal Morphology (UniMorph) project is a collaborative effort providing broad-coverage instantiated normalized morphological paradigms for hundreds of diverse world languages. The project comprises two major thrusts: a language-independent feature schema for rich morphological annotation and a type-level resource of annotated data in diverse languages realizing that schema. We have implemented several improvements to the extraction pipeline which creates most of our data, so that it is both more complete and more correct. We have added 66 new languages, as well as new parts of speech for 12 languages. We have also amended the schema in several ways. Finally, we present three new community tools: two to validate data for resource creators, and one to make morphological data available from the command line. UniMorph is based at the Center for Language and Speech Processing (CLSP) at Johns Hopkins University in Baltimore, Maryland. This paper details advances made to the schema, tooling, and dissemination of project resources since the UniMorph 2.0 release described at LREC 2018.
Keyword: lexical database; morphology; multilinguality
URL: https://hdl.handle.net/20.500.11850/462327
https://doi.org/10.3929/ethz-b-000462327
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UniMorph 3.0: Universal Morphology ...
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