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The Future of Computational Linguistics: On Beyond Alchemy. [PDF]

open access: goldFront 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.
europepmc   +4 more sources

Reproducibility in Computational Linguistics: Is Source Code Enough? [PDF]

open access: goldConference 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
openalex   +2 more sources

Survey Article: Inter-Coder Agreement for Computational Linguistics [PDF]

open access: yesInternational 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
semanticscholar   +3 more sources

Anaphora With Non-nominal Antecedents in Computational Linguistics: a Survey [PDF]

open access: diamondComputational 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
openalex   +2 more sources

Computational linguistics and discourse complexology: Paradigms and research methods

open access: diamondRussian 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 Solovyev   +2 more
openalex   +3 more sources

Rank diversity of languages: generic behavior in computational linguistics. [PDF]

open access: yesPLoS 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
europepmc   +4 more sources

LFTK: Handcrafted Features in Computational Linguistics [PDF]

open access: yesWorkshop on Innovative Use of NLP for Building Educational Applications, 2023
Past research has identified a rich set of handcrafted linguistic features that can potentially assist various tasks. However, their extensive number makes it difficult to effectively select and utilize existing handcrafted features.
Bruce W. Lee, J. Lee
semanticscholar   +1 more source

The ACL OCL Corpus: advancing Open science in Computational Linguistics [PDF]

open access: yesConference on Empirical Methods in Natural Language Processing, 2023
We present ACL OCL, a scholarly corpus derived from the ACL Anthology to assist Open scientific research in the Computational Linguistics domain. Integrating and enhancing the previous versions of the ACL Anthology, the ACL OCL contributes metadata, PDF ...
Shaurya Rohatgi   +4 more
semanticscholar   +1 more source

Typos’ Effects on Web-Based Programming Code Output: A Computational Linguistics Study

open access: yesTheory and Practice in Language Studies, 2022
Computational linguistics is concerned with understanding language from a computational perspective and constructing artifacts that are useful in processing and generating language.
Iksora   +4 more
semanticscholar   +1 more source

Compositionality in Computational Linguistics

open access: yesAnnual Review of Linguistics, 2022
Neural models greatly outperform grammar-based models across many tasks in modern computational linguistics. This raises the question of whether linguistic principles, such as the Principle of Compositionality, still have value as modeling tools.
L. Donatelli, Alexander Koller
semanticscholar   +1 more source

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