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Sümeyra Tosun – Cognitive Research: Principles and Implications, 2024
Machine translation (MT) is the automated process of translating text between different languages, encompassing a wide range of language pairs. This study focuses on non-professional bilingual speakers of Turkish and English, aiming to assess their ability to discern accuracy in machine translations and their preferences regarding MT. A particular…
Descriptors: Bilingualism, Turkish, English (Second Language), Second Language Learning
Solbee Kim – ProQuest LLC, 2024
Since the release of advanced Large Language Models (LLMs) like ChatGPT in the winter of 2022, educators have been challenged to integrate AI in educational contexts without adequate preparation. This multimethod study aims to provide valuable insights into how students and teachers can make effective, responsible use of AI tools for writing.…
Descriptors: Artificial Intelligence, Writing (Composition), Technology Uses in Education, Computer Software
Taghizadeh, Masoomeh – Asian-Pacific Journal of Second and Foreign Language Education, 2023
Within the last two decades, researchers have begun to investigate how L2 learners process syntactic, morpho-syntactic, and lexical information during the comprehension of L2 sentences. The present study aimed to add to research by investigating how L1 influences L2 processing of sentences indicating plurality in constructions involving numerals.…
Descriptors: Nouns, Indo European Languages, Reaction Time, Language Processing
Epistemic Reasoning in Pragmatic Inferencing by Non-Native Speakers: The Case of Scalar Implicatures
Zhang, Jun; Wu, Yan – Second Language Research, 2023
Scalar implicatures involve inferring the use of a less informative term (e.g. some) to mean the negation of a more informative term (e.g. not all). A growing body of recent research on the derivation of scalar implicatures by adult second language (L2) learners shows that while they are successful in acquiring the knowledge of scalar…
Descriptors: Pragmatics, Inferences, Second Language Learning, Second Language Instruction
Eun Seon Chung – Language Learning & Technology, 2024
While previous investigations on online machine translation (MT) in language learning have analyzed how second language (L2) learners use and post-edit MT output, no study as of yet has investigated how the learners process MT errors and what factors affect this process using response and reading times. The present study thus investigates L2…
Descriptors: English (Second Language), Korean, Language Processing, Translation
John, Paul; Cardoso, Walcir; Johnson, Carol – Research-publishing.net, 2022
This study examines the L2 pronunciation feedback provided by the Automatic Speech Recognition (ASR) functionality in Google Translate (GT). We focus on three Quebec Francophone (QF) errors in English: th-substitution, h-deletion, and h-epenthesis. Four hundred and eighty male and female QF recordings of sentences with correctly and incorrectly…
Descriptors: Second Language Learning, Second Language Instruction, Audio Equipment, Accuracy
Rehman, Ivana; Silpachai, Alif; Levis, John; Zhao, Guanlong; Gutierrez-Osuna, Ricardo – Language Teaching Research, 2022
The accurate identification of likely segmental pronunciation errors produced by nonnative speakers of English is a longstanding goal in pronunciation teaching. Most lists of pronunciation errors for speakers of a particular first language (L1) are based on the experience of expert linguists or teachers of English as a second language (ESL) and…
Descriptors: Pronunciation, English (Second Language), Second Language Learning, Second Language Instruction
Stapleton, Paul – International Journal of Computer-Assisted Language Learning and Teaching, 2021
In the present study, two sets of scripts from primary school students were collected, one written in English and the other in their native Chinese on the same topic. The Chinese scripts were translated into English by Google Translate (GT) and compared with the scripts written in English. Sentences in the two sets of passages that were clearly…
Descriptors: Writing Instruction, Second Language Learning, English (Second Language), Second Language Instruction
Paul John; Nina Wolf – CALICO Journal, 2020
Our study examines written corrective feedback generated by two online grammar checkers (GCs), Grammarly and Virtual Writing Tutor, and by the grammar checking function of Microsoft Word. We tested the technology on a wide range of grammatical error types from two sources: a set of authentic ESL compositions and a series of simple sentences we…
Descriptors: English (Second Language), Feedback (Response), Automation, Grammar
Suraprajit, Prathomwat – English Language Teaching, 2022
Conditional sentences are difficult for EFL students to understand because of their complexity in both form and function. By analyzing the performances and opinions among EFL learners, the pedagogical contribution may be beneficial for both EFL students and teachers. The use, errors, and perceptions of Thai EFL students regarding conditional…
Descriptors: Language Usage, Error Patterns, Self Concept, English (Second Language)
Pratiwi, Damar Isti; Puspitasari, Armyta; Fikria, Ainun – TESL-EJ, 2023
While writing has evolved away from the conventional method of using pens and paper in favor of digital tools (Li et al., 2019), English teachers continue to face difficulties in teaching writing. This study shows how mind-mapping and the program, Writeabout, can be merged for online writing classes in English for Specific Purposes (ESP)…
Descriptors: Writing Instruction, Teaching Methods, Cognitive Mapping, Computer Assisted Instruction
Sürüç Sen, Nur – Journal of Language and Linguistic Studies, 2021
When it comes to paying attention to the suprasegmental features of their speech, most learners of English seem to be unaware that such phenomena as stress, pitch, duration, and pausing can be of great importance regarding mutual intelligibility. Since they carry a considerable weight of establishing an intelligible conversation, it is argued that…
Descriptors: Intonation, Language Rhythm, Suprasegmentals, Turkish
Dharmawan, Ruben; Nababan, MR.; Tarjana, M. Sri Samiati; Djatmika – Journal of Social Studies Education Research, 2019
This study examines the quality of entry translation in Dorland's Medical Dictionary (DMD) containing mistranslation and maltranslation. This embedded-case study used DMD human-based and website mistranslation leading to maltranslation. The purposively selected data were 111 tropical medicine related the entries and its definition inserted in the…
Descriptors: Dictionaries, Medicine, Web Sites, Computer Software
Grami, G. M. A.; Alkazemi, B. Y. – Journal of Computer Assisted Learning, 2016
Writing correct English sentences can be challenging. Furthermore, writing correct formulaic sequences can be especially difficult because accepted combinations do not follow clear rules governing which words appear together in a sequence. One solution is to provide examples of correct usage accompanied by statistical feedback from web-based…
Descriptors: Sentences, Writing Skills, Feedback (Response), English (Second Language)
Liu, Sze-Chu; Hung, Po-Yi – Universal Journal of Educational Research, 2016
The purpose of this study is to evaluate the effectiveness of computer assisted pronunciation instruction in English pronunciation for students in vocational colleges and universities in Taiwan. The participants were fifty-one first-year undergraduate students from a technological university located in central Taiwan. The participants received an…
Descriptors: Pronunciation Instruction, Pronunciation, Computer Assisted Instruction, Foreign Countries
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