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Esterm v20220103 ... : Esterm v20220103 ...
Langemets, Margit. - : Center of Estonian Language Resources, 2022
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Esterm v20220103 ... : Esterm v20220103 ...
Langemets, Margit. - : Center of Estonian Language Resources, 2022
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Sõnaveeb 2021. EKI keeleportaal ... : Language portal Sõnaveeb 2021 ...
Nurk, Tõnis; Hein, Indrek; Kallas, Jelena. - : Center of Estonian Language Resources, 2021
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Keeleportaal Sõnaveeb 2021 ... : Language portal Sõnaveeb 2021 ...
Nurk, Tõnis; Hein, Indrek; Kallas, Jelena. - : Center of Estonian Language Resources, 2021
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Eesti-hiina põhisõnavara sõnastik ... : Estonian-Chinese Basic Dictionary ...
Hein, Indrek; Langemets, Margit. - : Center of Estonian Language Resources, 2021
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Eesti-hiina põhisõnavara sõnastik ... : Estonian-Chinese Basic Dictionary ...
Hein, Indrek; Langemets, Margit. - : Center of Estonian Language Resources, 2021
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Esterm v20210102 ... : Esterm v20210102 ...
Langemets, Margit. - : Center of Estonian Language Resources, 2021
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Esterm v20210102 ... : Esterm v20210102 ...
Langemets, Margit. - : Center of Estonian Language Resources, 2021
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Keeleportaal Sõnaveeb ... : Language portal Sõnaveeb ...
Nurk, Tõnis; Hein, Indrek; Kallas, Jelena. - : Center of Estonian Language Resources, 2020
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Sõnaveeb 2020. EKI keeleportaal ... : Language portal Sõnaveeb 2020 ...
Nurk, Tõnis; Hein, Indrek; Kallas, Jelena. - : Center of Estonian Language Resources, 2020
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A Multilingual Evaluation Dataset for Monolingual Word Sense Alignment
Abstract: UIDB/03213/2020 UIDP/03213/2020 ; Aligning senses across resources and languages is a challenging task with beneficial applications in the field of natural language process-ing and electronic lexicography. In this paper, we describe our efforts in manually aligning monolingual dictionaries. The alignment iscarried out at sense-level for various resources in 15 languages. Moreover, senses are annotated with possible semantic relationships suchas broadness, narrowness, relatedness, and equivalence. In comparison to previous datasets for this task, this dataset covers a wide rangeof languages and resources and focuses on the more challenging task of linking general-purpose language. We believe that our data willpave the way for further advances in alignment and evaluation of word senses by creating new solutions, particularly those notoriouslyrequiring data such as neural networks. Our resources are publicly available athttps://github.com/elexis-eu/MWSA. ; publishersversion ; published
Keyword: Language resource; Lexical semantics resoruces; Lexicography; Sense alignment
URL: http://hdl.handle.net/10362/116231
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A multilingual evaluation dataset for monolingual word sense alignment
Nimb, Sanni; Gabrovsek, Dejan; Schoonheim, Tanneke. - : National University of Ireland Galway, 2020
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A Multilingual Evaluation Dataset for Monolingual Word Sense Alignment ...
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A Multilingual Evaluation Dataset for Monolingual Word Sense Alignment ...
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The Image of the Monolingual Dictionary Across Europe. Results of the European Survey of Dictionary use and Culture
In: ISSN: 0950-3846 ; EISSN: 1477-4577 ; International Journal of Lexicography ; https://hal.archives-ouvertes.fr/hal-03512668 ; International Journal of Lexicography, Oxford University Press (OUP), 2019 (2019)
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Aggregating Dictionaries into the Language Portal Sõnaveeb: Issues With and Without Solutions ...
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Lexicographic Practices in Europe: Results of the ELEXIS Survey on User Needs ...
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Lexicographic Practices in Europe: Results of the ELEXIS Survey on User Needs ...
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Lexicographic Practices in Europe: Results of the ELEXIS Survey on User Needs ...
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Lexicographic Practices in Europe: Results of the ELEXIS Survey on User Needs ...
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