Results 81 to 90 of about 824,215 (366)

Word prediction in computational historical linguistics

open access: yesJournal of Language Modelling, 2021
In this paper, we investigate how the prediction paradigm from machine learning and Natural Language Processing (NLP) can be put to use in computational historical linguistics. We propose word prediction as an intermediate task, where the forms of unseen
Peter Dekker, Willem Zuidema
doaj   +1 more source

Computational coverage of type logical grammar: The Montague test [PDF]

open access: yes, 2016
It is nearly half a century since Montague made his contributions to the field of logical semantics. In this time, computational linguistics has taken an almost entirely statistical turn and mainstream linguistics has adopted an almost entirely non ...
Morrill, Glyn   +1 more
core  

Constraint programming in computational linguistics [PDF]

open access: yes, 2002
Constraint programming is a programming paradigm that was originally invented in computer science to deal with hard combinatorial problems. Recently, constraint programming has evolved into a technology which permits to solve hard industrial scheduling ...
Koller, Alexander, Niehren, Joachim
core   +4 more sources

Sustaining the “frozen footprints” of scholarly communication through open citations

open access: yesJournal of the Association for Information Science and Technology, EarlyView.
Abstract This review examines the role of open citations in fostering transparency, reproducibility, and accessibility in scholarly communication. Through a critical synthesis of diverse sources—articles, proceedings, presentations, datasets, and blog posts—it explores the motivations behind citing, the evolving meanings of citations, and key ...
Zehra Taşkın
wiley   +1 more source

Machine Learning and Applied Linguistics [PDF]

open access: yes, 2018
This entry introduces the topic of machine learning and provides an overview of its relevance for applied linguistics and language learning. The discussion will focus on giving an introduction to the methods and applications of machine learning in applied linguistics, and will provide references for further study.
arxiv   +1 more source

Distributional Semantics and Linguistic Theory [PDF]

open access: yesAnnu. Rev. Linguist. 6:213-34 (2020), 2019
Distributional semantics provides multi-dimensional, graded, empirically induced word representations that successfully capture many aspects of meaning in natural languages, as shown in a large body of work in computational linguistics; yet, its impact in theoretical linguistics has so far been limited. This review provides a critical discussion of the
arxiv   +1 more source

Computational Evolutionary Linguistics [PDF]

open access: yes, 2001
Languages and species both evolve by a process of repeated divergences, which can be described with the branching of a phylogenetic tree or phylogeny.
vanCort, Tracy
core   +1 more source

Spiritual and religious information experiences: An Annual Review of Information Science and Technology (ARIST) paper

open access: yesJournal of the Association for Information Science and Technology, EarlyView.
Abstract This chapter examines the contours of the religious and spiritual information experiences subfield through a review and content analysis of selected contributions from the past two decades in both information science and related fields. The research question that guides this review is: How have spirituality and religion been conceptualized in ...
Nadia Caidi   +4 more
wiley   +1 more source

Corpora for computational linguistics Corpora for computational linguistics

open access: yesIlha do Desterro, 2008
Since the mid 90s corpora has become very important for computational linguistics. This paper offers a survey of how they are currently used in different fields of the discipline, with particular emphasis on anaphora and coreference resolution, automatic
Constantin Orasan   +4 more
doaj  

Neural encoding of linguistic speech cues is unaffected by cognitive decline, but decreases with increasing hearing impairment

open access: yesScientific Reports
The multivariate temporal response function (mTRF) is an effective tool for investigating the neural encoding of acoustic and complex linguistic features in natural continuous speech.
Elena Bolt, Nathalie Giroud
doaj   +1 more source

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