Natural Language Processing and Computational Linguistics [PDF]
Computational Linguistics, 2021 away other aspects of information, such as the speaker’s empathy, distinction of old/new information, emphasis, and so on. To climb up the hierarchy led to loss of information in lower levels of representation. In Tsujii (1986), instead of mapping at the
Junichi Tsujii
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The Future of Computational Linguistics: On Beyond Alchemy. [PDF]
Front Artif Intell, 2021 Over the decades, fashions in Computational Linguistics have changed again and again, with major shifts in motivations, methods and applications. When digital computers first appeared, linguistic analysis adopted the new methods of information theory ...
Church K, Liberman M.
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Reproducibility in Computational Linguistics: Is Source Code Enough? [PDF]
Conference on Empirical Methods in Natural Language Processing, 2022 The availability of source code has been put forward as one of the most critical factors for improving the reproducibility of scientific research. This work studies trends in source code availability at major computational linguistics conferences, namely,
Mohammad Arvan +2 more
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Survey Article: Inter-Coder Agreement for Computational Linguistics [PDF]
International Conference on Computational Logic, 2008 This article is a survey of methods for measuring agreement among corpus annotators. It exposes the mathematics and underlying assumptions of agreement coefficients, covering Krippendorff's alpha as well as Scott's pi and Cohen's kappa; discusses the use
Ron Artstein, Massimo Poesio
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Rank diversity of languages: generic behavior in computational linguistics. [PDF]
PLoS One, 2015 Statistical studies of languages have focused on the rank-frequency distribution of words. Instead, we introduce here a measure of how word ranks change in time and call this distribution \emph{rank diversity}.
Cocho G +4 more
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Computational linguistics and discourse complexology: Paradigms and research methods
Russian Journal of Linguistics, 2022 The dramatic expansion of modern linguistic research and enhanced accuracy of linguistic analysis have become a reality due to the ability of artificial neural networks not only to learn and adapt, but also carry out automate linguistic analysis, select,
Valery Dmitrievich Solovyev +2 more
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Anaphora With Non-nominal Antecedents in Computational Linguistics: a Survey [PDF]
Computational Linguistics, 2018 This article provides an extensive overview of the literature related to the phenomenon of non-nominal-antecedent anaphora (also known as abstract anaphora or discourse deixis), a type of anaphora in which an anaphor like “that” refers to an antecedent ...
Varada Kolhatkar +3 more
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Computational historical linguistics and language diversity in South Asia [PDF]
Annual Meeting of the Association for Computational Linguistics, 2022 South Asia is home to a plethora of languages, many of which severely lack access to new language technologies. This linguistic diversity also results in a research environment conducive to the study of comparative, contact, and historical linguistics ...
Aryaman Arora +3 more
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Bilingual word list: computational linguistics
Literator, 2008 This word list is under constant development.
G.B. van Huyssteen
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Employing computational linguistics techniques to identify limited patient health literacy: Findings from the ECLIPPSE study. [PDF]
Health Serv Res, 2021 Schillinger D +5 more
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