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Atténuer les erreurs de numérisation dans la reconnaissance d'entités nommées pour les documents historiques
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In: Conférence en Recherche d'Informations et Applications (CORIA 2021) ; https://hal.archives-ouvertes.fr/hal-03320332 ; Conférence en Recherche d'Informations et Applications (CORIA 2021), ARIA : Association Francophone de Recherche d’Information (RI) et Applications, Apr 2021, Grenoble (virtuel), France. pp.1 - 7 ; http://coria.asso-aria.org/2021/articles/mini_24/main.pdf (2021)
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Lost in translation: Qualitative data collecting and translating challenges in multilingual settings in information systems research
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Would auto-translation of metadata enhance discovery and impact of research data? ...
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Would auto-translation of metadata enhance discovery and impact of research data? ...
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Report on the Published Updates to CESSDA Vocabulary Service Content ...
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Report on the Published Updates to CESSDA Vocabulary Service Content ...
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APiCS-Ligt: Towards Semantic Enrichment of Interlinear Glossed Text ...
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Ionov, Maxim. - : Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2021
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LLOD-driven Bilingual Word Embeddings Rivaling Cross-lingual Transformers in Quality of Life Concept Detection from French Online Health Communities ...
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LLOD-driven Bilingual Word Embeddings Rivaling Cross-lingual Transformers in Quality of Life Concept Detection from French Online Health Communities ...
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Flipgrid and Second Language Acquisition Using Flipgrid to Promote Speaking Skills for English Language Learners
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In: Master’s Theses and Projects (2020)
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Determining Differences of Granularity between Cross-Dictionary Linked Senses ...
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Determining Differences of Granularity between Cross-Dictionary Linked Senses ...
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Empowering Parents by Arming them with Personalized Student Data
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In: National Youth Advocacy and Resilience Conference (2020)
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Enabling Sustainable Economic Growth in Developing Countries: Targeted Tourism Management in the Caucasus Region
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In: Social Impact Research Experience (SIRE) (2020)
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ROSETTA: Resources for Endangered languages through translated texts
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In: The Center for Spatial and Textual Analysis (CESTA) Seminar Series, Stanford University, USA ; https://hal.archives-ouvertes.fr/hal-03083801 ; The Center for Spatial and Textual Analysis (CESTA) Seminar Series, Stanford University, USA, The Center for Spatial and Textual Analysis (CESTA), Apr 2019, Stanford, United States ; https://cesta.stanford.edu/events/cesta-seminar-series-rosetta-0 (2019)
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Ligt: An LLOD-Native Vocabulary for Representing Interlinear Glossed Text as RDF
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Ionov, Maxim; Chiarcos, Christian. - : Schloss Dagstuhl - Leibniz-Zentrum fuer Informatik, 2019. : OASIcs - OpenAccess Series in Informatics. 2nd Conference on Language, Data and Knowledge (LDK 2019), 2019
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Abstract:
The paper introduces Ligt, a native RDF vocabulary for representing linguistic examples as text with interlinear glosses (IGT) in a linked data formalism. Interlinear glossing is a notation used in various fields of linguistics to provide readers with a way to understand linguistic phenomena and to provide corpus data when documenting endangered languages. This data is usually provided with morpheme-by-morpheme correspondence which is not supported by any established vocabularies for representing linguistic corpora or automated annotations. Interlinear Glossed Text can be stored and exchanged in several formats specifically designed for the purpose, but these differ in their designs and concepts, and they are tied to particular tools, so the reusability of the annotated data is limited. To improve interoperability and reusability, we propose to convert such glosses to a tool-independent representation well-suited for the Web of Data, i.e., a representation in RDF. Beyond establishing structural (format) interoperability by means of a common data representation, our approach also allows using shared vocabularies and terminology repositories available from the (Linguistic) Linked Open Data cloud. We describe the core vocabulary and the converters that use this vocabulary to convert IGT in a format of various widely-used tools into RDF. Ultimately, a Linked Data representation will facilitate the accessibility of language data from less-resourced language varieties within the (Linguistic) Linked Open Data cloud, as well as enable novel ways to access and integrate this information with (L)LOD dictionary data and other types of lexical-semantic resources. In a longer perspective, data currently only available through these formats will become more visible and reusable and contribute to the development of a truly multilingual (semantic) web.
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Keyword:
data modeling; Data processing Computer science; interlinear glossed text (IGT); less-resourced languages in the (multilingual) Semantic Web; Linguistic Linked Open Data (LLOD)
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URN:
urn:nbn:de:0030-drops-103672
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URL: https://drops.dagstuhl.de/opus/volltexte/2019/10367/
https://doi.org/10.4230/OASIcs.LDK.2019.3
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