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pro vyhledávání: '"Dimitrios Alikaniotis"'
Publikováno v:
Entropy, Vol 19, Iss 6, p 275 (2017)
The choice associated with words is a fundamental property of natural languages. It lies at the heart of quantitative linguistics, computational linguistics and language sciences more generally. Information theory gives us tools at hand to measure pr
Externí odkaz:
https://doaj.org/article/e064ee69622b4a11bd0974a8297af484
Autor:
Vipul Raheja, Dimitrios Alikaniotis
Publikováno v:
EMNLP (Findings)
Recent works in Grammatical Error Correction (GEC) have leveraged the progress in Neural Machine Translation (NMT), to learn rewrites from parallel corpora of grammatically incorrect and corrected sentences, achieving state-of-the-art results. At the
Autor:
Dimitrios Alikaniotis, Vipul Raheja
Publikováno v:
BEA@ACL
Recent work on Grammatical Error Correction (GEC) has highlighted the importance of language modeling in that it is certainly possible to achieve good performance by comparing the probabilities of the proposed edits. At the same time, advancements in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3753ef33376927320a2bbf1dd7c7ce8e
Publikováno v:
Entropy; Volume 19; Issue 6; Pages: 275
The choice associated with words is a fundamental property of natural languages. It lies at the heart of quantitative linguistics, computational linguistics and language sciences more generally. Information theory gives us tools at hand to measure pr
Word frequencies are central to linguistic studies investigating processing difficulty, learnability, age of acquisition, diachronic transmission and the relative weight given to a concept in society. However, there are few cross-linguistic studies o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::49bdd7105aa61e13a63f37ecf5d5c586
https://www.zora.uzh.ch/id/eprint/137218/
https://www.zora.uzh.ch/id/eprint/137218/