Results 41 to 50 of about 2,340,508 (360)
A heuristic framework for voice instruction at the doctoral level
Stellenbosch Papers in Linguistics Plus, 2018 The notion of voice as an integral aspect of language use has been extensively theorised in linguistics. However, empirical research and pedagogical models have not yet matched the sophistication of voice theories in linguistics, and little attention has
Olivier, Alet, Carstens, Adelia
doaj +1 more source
Arabic Text Detection Using Rough Set Theory: Designing a Novel Approach
IEEE Access, 2023 The linguistics related research and particularly, sentiment analysis using data-driven approaches, has been growing in recent years. However, the large number of users and excessive amount of information available on social media, make it difficult to ...
Amjed Abbas Ahmed +7 more
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LINGUISTIC FEATURES OF MICROTEXTS
, 2022 This article, first of all, provides information about the concept of language, and then includes general information about the concept of text, types of text: microtext and macrotext. It also focuses on the field of microtext and gives detailed information about its usage, size, significance in the field of linguistics and its role in stylistics.
openaire +3 more sources
Australian Journal of Social Issues, Volume 57, Issue 4, Page 861-879, December 2022., 2022 Abstract Non‐physical abuse is a form of intimate partner violence (IPV), which negatively impacts physical and mental well‐being. The study objectives were to understand the process of support seeking amongst women who experience non‐physical IPV. Interviews were conducted with women who have experience of non‐physical IPV and support workers.
Karishma Doolabh +2 more
wiley +1 more source
Linguistic Profiling of a Neural Language Model [PDF]
Proceedings of the 28th International Conference on Computational
Linguistics (COLING 2020), 2020 In this paper we investigate the linguistic knowledge learned by a Neural Language Model (NLM) before and after a fine-tuning process and how this knowledge affects its predictions during several classification problems. We use a wide set of probing tasks, each of which corresponds to a distinct sentence-level feature extracted from different levels of
arxiv +1 more source
"Linguistic principles and computational linguistics methods for the purposes of sentiment analysis of Russian texts." [PDF]
Актуальные проблемы филологии и педагогической лингвистики, 2018 "The article focuses on the current results of research project aiming at the design of Russian text classifier according to the criterion of text’s emotional tonality.
Kolmogorova Anastasia V. +2 more
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Improving Topic Models with Latent Feature Word Representations [PDF]
Transactions of the Association for Computational Linguistics, 2015 Probabilistic topic models are widely used to discover latent topics in document collections, while latent feature vector representations of words have been used to obtain high performance in many NLP tasks.
Dat Quoc Nguyen +3 more
semanticscholar +1 more source
Natural Language Processing and Computational Linguistics
International Conference on Computational Logic, 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
Jun'ichi Tsujii
semanticscholar +1 more source
A computational guide to the dichotomy of features and constraints
Glossa, 2017 A contentious issue in the Minimalist literature is whether certain phenomena are best described in terms of features or constraints. Building on recent work in mathematical linguistics, I argue that constraints and features are interchangeable in ...
Thomas Graf
doaj +2 more sources
Feature-Rich Part-of-Speech Tagging with a Cyclic Dependency Network
North American Chapter of the Association for Computational Linguistics, 2003 We present a new part-of-speech tagger that demonstrates the following ideas: (i) explicit use of both preceding and following tag contexts via a dependency network representation, (ii) broad use of lexical features, including jointly conditioning on ...
Kristina Toutanova +3 more
semanticscholar +1 more source