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Austin Pack; Jeffrey Maloney – TESOL Quarterly: A Journal for Teachers of English to Speakers of Other Languages and of Standard English as a Second Dialect, 2024
While recent and significant progress made in natural language processing and artificial intelligence (AI) has the potential to drastically influence the field of language education, many language educators and administrators remain unfamiliar with these recent technological advances and their pedagogical implications. The primary purpose of this…
Descriptors: Artificial Intelligence, English (Second Language), Natural Language Processing, Language Teachers
Tan Thanh Tran – Technology in Language Teaching & Learning, 2024
When studying grammar, students must not only focus on its structure but also on its form. Form-focused activities are integral to this process, requiring students to identify and manipulate language forms. A well-established technique for facilitating language acquisition is the consciousness-raising task (CR), which aims to heighten learners'…
Descriptors: Natural Language Processing, Consciousness Raising, Artificial Intelligence, Grammar
Mary Rice; Nicholas DePascal; Joaquín T. Argüello de Jesús; Helen McFeely; Amy Traylor; Lehman Heaviland – Professional Development in Education, 2025
With the introduction of artificial intelligence (AI), particularly Generative AI (GenAI) to school settings, teachers are likely to be drawn into professional learning scenarios where they will be expected to learn how to use programs and applications for remediation and tutoring of children. Previous research highlights how professional learning…
Descriptors: Artificial Intelligence, Man Machine Systems, Natural Language Processing, Technology Uses in Education
Pack, Austin; Maloney, Jeffrey – Teaching English with Technology, 2023
With recent public access to large language models via chatbots, the field of language education is seeing unprecedented levels of interest in how AI will affect language learning and teaching. As attention is primarily focused on student misuse of the technology, the potential affordances of generative AI tools may often be overlooked. In this…
Descriptors: Artificial Intelligence, Natural Language Processing, Man Machine Systems, Language Acquisition
Wagner, Joachim; Foster, Jennifer; van Genabith, Josef – CALICO Journal, 2009
A classifier which is capable of distinguishing a syntactically well formed sentence from a syntactically ill formed one has the potential to be useful in an L2 language-learning context. In this article, we describe a classifier which classifies English sentences as either well formed or ill formed using information gleaned from three different…
Descriptors: Sentences, Language Processing, Natural Language Processing, Grammar
Ellis, Nick C.; Simpson-Vlach, Rita; Maynard, Carson – TESOL Quarterly: A Journal for Teachers of English to Speakers of Other Languages and of Standard English as a Second Dialect, 2008
Natural language makes considerable use of recurrent formulaic patterns of words. This article triangulates the construct of "formula" from corpus linguistic, psycholinguistic, and educational perspectives. It describes the corpus linguistic extraction of pedagogically useful formulaic sequences for academic speech and writing. It determines…
Descriptors: Psycholinguistics, Second Language Learning, Language Processing, Native Speakers
Larson-Hall, J. – Second Language Research, 2004
A perception experiment involving a novel language pairing, that of Japanese as a first language (L1) and Russian as a second language (L2), was conducted with 33 Japanese learners of Russian to determine whether two phonological models could successfully predict patterns of perceptual difficulty with eight Russian segments. The Featural Model of…
Descriptors: Russian, Natural Language Processing, English (Second Language)
A Prediction Model of Foreign Language Reading Proficiency Based on Reading Time and Text Complexity
Kotani, Katsunori; Yoshimi, Takehiko; Isahara, Hitoshi – Online Submission, 2010
In textbooks, foreign (second) language reading proficiency is often evaluated through comprehension questions. In case, authentic texts are used as reading material, such questions should be prepared by teachers. However, preparing appropriate questions may be a very demanding task for teachers. This paper introduces a method for automatically…
Descriptors: Foreign Countries, Reading Comprehension, Reading Materials, Predictive Measurement
Ghosh, Siddhartha; Fatima, Sameen S. – Journal of Educational Technology, 2007
Automated essay grading or scoring systems are no more a myth, but they are a reality. As of today, the human written (not hand written) essays are corrected not only by examiners/teachers but also by machines. The TOEFL exam is one of the best examples of this application. The students' essays are evaluated both by human and web based automated…
Descriptors: Foreign Countries, Essays, Grading, Automation
Jia, Jiyou; Chen, Weichao – British Journal of Educational Technology, 2009
In this paper, we present the comprehensive version of CSIEC (Computer Simulation in Educational Communication), an interactive web-based human-computer dialogue system with natural language for English instruction, and its tentative application and evaluation in English education. First, we briefly introduce the motivation for this project,…
Descriptors: Computer Simulation, Natural Language Processing, English (Second Language), Second Language Instruction