DeLex, a freely-avaible, large-scale and linguistically grounded morphological lexicon for German
International audience We introduce DeLex, a freely-avaible, large-scale and linguistically grounded morphological lexicon for German developed within the Alexina framework. We extracted lexical information from the German wiktionary and developed a morphological inflection grammar for German, based...
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ftccsdartic:oai:HAL:hal-01022288v1 2023-05-15T16:48:39+02:00 DeLex, a freely-avaible, large-scale and linguistically grounded morphological lexicon for German Sagot, Benoît Analyse Linguistique Profonde à Grande Echelle Large-scale deep linguistic processing (ALPAGE) Inria Paris-Rocquencourt Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Université Paris Diderot - Paris 7 (UPD7) French "Investissements d'avenir" project PACTE European Language Resources Association ANR-09-CORD-0008,EDyLex,Enrichissement Dynamique de ressources Lexicales(2009) Reykjavik, Iceland 2014-05-26 https://hal.inria.fr/hal-01022288 https://hal.inria.fr/hal-01022288/document https://hal.inria.fr/hal-01022288/file/lrec14delex.pdf en eng HAL CCSD hal-01022288 https://hal.inria.fr/hal-01022288 https://hal.inria.fr/hal-01022288/document https://hal.inria.fr/hal-01022288/file/lrec14delex.pdf info:eu-repo/semantics/OpenAccess Language Resources and Evaluation Conference https://hal.inria.fr/hal-01022288 Language Resources and Evaluation Conference, European Language Resources Association, May 2014, Reykjavik, Iceland ACM: J.: Computer Applications/J.5: ARTS AND HUMANITIES/J.5.4: Linguistics ACM: I.: Computing Methodologies/I.2: ARTIFICIAL INTELLIGENCE/I.2.7: Natural Language Processing [INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL] info:eu-repo/semantics/conferenceObject Conference papers 2014 ftccsdartic 2021-02-14T00:53:52Z International audience We introduce DeLex, a freely-avaible, large-scale and linguistically grounded morphological lexicon for German developed within the Alexina framework. We extracted lexical information from the German wiktionary and developed a morphological inflection grammar for German, based on a linguistically sound model of inflectional morphology. Although the developement of DeLex involved some manual work, we show that is represents a good tradeoff between development cost, lexical coverage and resource accuracy. Conference Object Iceland Archive ouverte HAL (Hyper Article en Ligne, CCSD - Centre pour la Communication Scientifique Directe) |
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Archive ouverte HAL (Hyper Article en Ligne, CCSD - Centre pour la Communication Scientifique Directe) |
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ftccsdartic |
language |
English |
topic |
ACM: J.: Computer Applications/J.5: ARTS AND HUMANITIES/J.5.4: Linguistics ACM: I.: Computing Methodologies/I.2: ARTIFICIAL INTELLIGENCE/I.2.7: Natural Language Processing [INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL] |
spellingShingle |
ACM: J.: Computer Applications/J.5: ARTS AND HUMANITIES/J.5.4: Linguistics ACM: I.: Computing Methodologies/I.2: ARTIFICIAL INTELLIGENCE/I.2.7: Natural Language Processing [INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL] Sagot, Benoît DeLex, a freely-avaible, large-scale and linguistically grounded morphological lexicon for German |
topic_facet |
ACM: J.: Computer Applications/J.5: ARTS AND HUMANITIES/J.5.4: Linguistics ACM: I.: Computing Methodologies/I.2: ARTIFICIAL INTELLIGENCE/I.2.7: Natural Language Processing [INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL] |
description |
International audience We introduce DeLex, a freely-avaible, large-scale and linguistically grounded morphological lexicon for German developed within the Alexina framework. We extracted lexical information from the German wiktionary and developed a morphological inflection grammar for German, based on a linguistically sound model of inflectional morphology. Although the developement of DeLex involved some manual work, we show that is represents a good tradeoff between development cost, lexical coverage and resource accuracy. |
author2 |
Analyse Linguistique Profonde à Grande Echelle Large-scale deep linguistic processing (ALPAGE) Inria Paris-Rocquencourt Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Université Paris Diderot - Paris 7 (UPD7) French "Investissements d'avenir" project PACTE European Language Resources Association ANR-09-CORD-0008,EDyLex,Enrichissement Dynamique de ressources Lexicales(2009) |
format |
Conference Object |
author |
Sagot, Benoît |
author_facet |
Sagot, Benoît |
author_sort |
Sagot, Benoît |
title |
DeLex, a freely-avaible, large-scale and linguistically grounded morphological lexicon for German |
title_short |
DeLex, a freely-avaible, large-scale and linguistically grounded morphological lexicon for German |
title_full |
DeLex, a freely-avaible, large-scale and linguistically grounded morphological lexicon for German |
title_fullStr |
DeLex, a freely-avaible, large-scale and linguistically grounded morphological lexicon for German |
title_full_unstemmed |
DeLex, a freely-avaible, large-scale and linguistically grounded morphological lexicon for German |
title_sort |
delex, a freely-avaible, large-scale and linguistically grounded morphological lexicon for german |
publisher |
HAL CCSD |
publishDate |
2014 |
url |
https://hal.inria.fr/hal-01022288 https://hal.inria.fr/hal-01022288/document https://hal.inria.fr/hal-01022288/file/lrec14delex.pdf |
op_coverage |
Reykjavik, Iceland |
genre |
Iceland |
genre_facet |
Iceland |
op_source |
Language Resources and Evaluation Conference https://hal.inria.fr/hal-01022288 Language Resources and Evaluation Conference, European Language Resources Association, May 2014, Reykjavik, Iceland |
op_relation |
hal-01022288 https://hal.inria.fr/hal-01022288 https://hal.inria.fr/hal-01022288/document https://hal.inria.fr/hal-01022288/file/lrec14delex.pdf |
op_rights |
info:eu-repo/semantics/OpenAccess |
_version_ |
1766038741798879232 |