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Phuong-Anh Nguyen – IAFOR Journal of Education, 2024
Strategic competence, the ability to use communication strategies (CS) to overcome challenges and enhance communication effectiveness, is crucial in language learning. However, the coverage of these strategies as well as target models to teach them remain scarce in current instructional materials. This paper represents the first attempt to examine…
Descriptors: Artificial Intelligence, Computer Software, Metacognition, Technology Uses in Education
Su Tingting; Mohamed Abdou Moindjie; Manjet Kaur A/P Mehar Singh – Journal of Interdisciplinary Studies in Education, 2024
This study examines the use of English film subtitles to cultivate critical language awareness (CLA) and enhance language skills via a corpus-based approach. Creating and analyzing a specialized corpus of film subtitles reveals the cultural, social, and ideological dimensions of language usage. The findings show that film subtitles provide an…
Descriptors: Metalinguistics, Computational Linguistics, English, Language Usage
Shahzad-ul-Hassan Farooqi – Journal of Pedagogical Research, 2024
This study examines the efficacy and motivational implications of the word-count tracking strategy as a viable teaching strategy for improving writing output among Saudi EFL undergraduates. An intensive writing program was conducted at the English Department Al-Majmaah University with two groups who were taught through two different approaches.…
Descriptors: Undergraduate Students, English (Second Language), Second Language Learning, Second Language Instruction
Thomas Zapounidis; Marina Mattheoudakis – Journal of Educational Research and Innovation, 2024
This article highlights the need for a new type of corpus that will combine both a learner and a pedagogic corpus. The need for such a type of corpus is underlined by the interaction between input and output and the expected impact of the former on the latter within all instructional settings. Such a corpus will allow us to collect data, including…
Descriptors: Computational Linguistics, English (Second Language), Second Language Instruction, Second Language Learning
Mengliyev, Bakhtiyor; Shahabitdinova, Shohida; Khamroeva, Shahlo; Gulyamova, Shakhnoza; Botirova, Adiba – Journal of Language and Linguistic Studies, 2021
This article is dedicated to the issue of morphological analysis and synthesis of word forms in a linguistic analyzer, which is a significant feature of corpus linguistics. The article discourses in detail the morphological analysis, the creation of artificial language, grammar and analyzer, the general scheme of the analysis program that…
Descriptors: Morphology (Languages), Computational Linguistics, Computer Software, Artificial Languages
Gries, Stefan Th. – Language Learning, 2021
This methods showcase article provides a detailed overview of a mixed-effects modeling analysis of corpus data on the use of "that" in object and subject complementation by native speakers of English compared to its use by German and Spanish learners of English.
Descriptors: Computational Linguistics, Form Classes (Languages), Native Speakers, English
Anouk Dieuleveut – ProQuest LLC, 2021
This dissertation investigates when and how children figure out the force of modals, that is, when and how they learn that "can/might" express possibility, whereas must/have to express necessity. Learning modal force raises a logical "Subset Problem": given that necessity entails possibility, what prevents learners from…
Descriptors: Verbs, Language Acquisition, Grammar, Language Usage
Jaekoo Kang – ProQuest LLC, 2021
Variability is intrinsic to human speech production. One approach to understand variability in speech is to decompose it into task-irrelevant ("good") and task-relevant ("bad") parts with respect to speech tasks. Based on the uncontrolled manifold (UCM) approach, this dissertation investigates how vowel token-to-token…
Descriptors: Vowels, Speech Communication, Language Variation, Articulation (Speech)
Salem, Alexandra C.; Gale, Robert; Casilio, Marianne; Fleegle, Mikala; Fergadiotis, Gerasimos; Bedrick, Steven – Journal of Speech, Language, and Hearing Research, 2023
Purpose: ParAlg (Paraphasia Algorithms) is a software that automatically categorizes a person with aphasia's naming error (paraphasia) in relation to its intended target on a picture-naming test. These classifications (based on lexicality as well as semantic, phonological, and morphological similarity to the target) are important for…
Descriptors: Semantics, Computer Software, Aphasia, Classification
Cohen-Koka, Shirit; Nir, Bracha; Meir, Irit – Sign Language Studies, 2023
This article discusses the function of a particular feature of sign language--mouth action--as it is expressed in various discourse contexts. Specifically, we examine forms of mouthing and mouth gesture as they are used in signed narrative and expository texts, highlighting the signers' choices during the production of these two text types. We…
Descriptors: Sign Language, Human Body, Computational Linguistics, Foreign Countries
Mammadzada, Sabina – International Journal of Multilingualism, 2023
The article highlights the importance of transliteration in the field of machine translation, correct writing of personal and place names, and information retrieval. It provides an overview of various approaches, models and methods available in the field of transliteration. It shows the types of transliteration methods. The article also highlights…
Descriptors: Translation, Computational Linguistics, Naming, Information Retrieval
Omidkhoda, Vajiheh; Alizadeh, Ali; Kamyabi Gol, Atiyeh – First Language, 2023
Previous research has revealed that distributional information obtained from child-directed speech could be informative for children when they are learning grammatical categories. Frequent frames are distributional units proposed by Mintz and explored by researchers in many languages with different typologies. This study investigated two…
Descriptors: Grammar, Indo European Languages, Child Language, Language Acquisition
Muhammad Ahmad; Muhammad Asim Mahmood; Ali Raza Siddique – Novitas-ROYAL (Research on Youth and Language), 2023
This research investigates disciplinary variations using syntactic features in Pakistani academic writing (AW). The corpus of this research is developed from 160 dissertations across four disciplinary divisions and analyzed through AntConc. Results reveal heterogeneous and homogenous use of the said features. Heterogeneity is seen in relation to…
Descriptors: Language Variation, Nouns, Form Classes (Languages), Phrase Structure
Shaurya Rohatgi – ProQuest LLC, 2023
The exponential growth of digital libraries and the proliferation of scholarly content in electronic formats have made data mining and information retrieval essential tools for effectively managing, organizing, and disseminating knowledge. This thesis provides a comprehensive analysis of the advancements and challenges in these fields, with a…
Descriptors: Data Use, Data Analysis, Information Retrieval, Database Design
Prasetyanti, Dian Candra; Tongpoon-Patanasorn, Angkana – rEFLections, 2023
Dissertation introductions (DIs) have received on-going attention because they are considered to be the most challenging and difficult part of an academic text for graduate students, particularly for non-native English speakers (NNES). However, research that has investigated DIs written by native English speakers (NES) and by NNES, particularly…
Descriptors: Doctoral Dissertations, Doctoral Students, Computational Linguistics, English (Second Language)