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Bosker, Hans Rutger; Badaya, Esperanza; Corley, Martin – Discourse Processes: A Multidisciplinary Journal, 2021
Speech in everyday conversations is riddled with discourse markers (DMs), such as "well," "you know," and "like." However, in many lab-based studies of speech comprehension, such DMs are typically absent from the carefully articulated and highly controlled speech stimuli. As such, little is known about how these DMs…
Descriptors: Discourse Analysis, Language Usage, Word Recognition, Eye Movements
Nahatame, Shingo – Language Learning, 2021
Although text readability has traditionally been measured based on simple linguistic features, recent studies have employed natural language processing techniques to develop new readability formulas that better represent theoretical accounts of reading processes. This study evaluated the construct validity of different readability formulas,…
Descriptors: Readability, Natural Language Processing, Readability Formulas, Reading Processes
Zarcone, Alessandra; Demberg, Vera – Discourse Processes: A Multidisciplinary Journal, 2021
There is now a well-established literature showing that people anticipate upcoming concepts and words during language processing. Commonsense knowledge about typical event sequences and verbal selectional preferences can contribute to anticipating what will be mentioned next. We here investigate how temporal discourse connectives…
Descriptors: Natural Language Processing, Discourse Analysis, Form Classes (Languages), Word Order
Feng, Shihui; Law, Nancy – International Journal of Artificial Intelligence in Education, 2021
In this study, we review 1830 research articles on artificial intelligence in education (AIED), with the aim of providing a holistic picture of the knowledge evolution in this interdisciplinary research field from 2010 to 2019. A novel three-step approach in the analysis of the keyword co-occurrence networks (KCN) is proposed to identify the…
Descriptors: Artificial Intelligence, Technology Uses in Education, Educational Research, Intelligent Tutoring Systems
Chun, Dorothy M. – Educational Technology & Society, 2019
Based on my role as Editor in Chief of the journal Language Learning & Technology since 2000 and on my experiences as a technology-enhanced language learning (TELL) researcher, developer and teacher, I will provide an overview of recent cutting-edge research on the uses of technologies for second language teaching and learning. I suggest that…
Descriptors: Computer Assisted Instruction, Second Language Instruction, Second Language Learning, Educational Technology
Ota, Mitsuhiko; Skarabela, Barbora – Language Learning and Development, 2016
Infants' disposition to learn repetitions in the input structure has been demonstrated in pattern generalization (e.g., learning the pattern ABB from the token "ledidi"). This study tested whether a repetition advantage can also be found in lexical learning (i.e., learning the word "lele" vs. "ledi"). Twenty-four…
Descriptors: Infants, English, Language Acquisition, Repetition
Blikstein, Paulo; Worsley, Marcelo – Journal of Learning Analytics, 2016
New high-frequency multimodal data collection technologies and machine learning analysis techniques could offer new insights into learning, especially when students have the opportunity to generate unique, personalized artifacts, such as computer programs, robots, and solutions engineering challenges. To date most of the work on learning analytics…
Descriptors: Data Analysis, Data Collection, Educational Research, Constructivism (Learning)
Harris, Jesse; Pylkkanen, Liina; McElree, Brian; Frisson, Steven – Brain and Language, 2008
Although natural language appears to be largely compositional, the meanings of certain expressions cannot be straightforwardly recovered from the meanings of their parts. This study examined the online processing of one such class of expressions: "concealed questions", in which the meaning of a complex noun phrase ("the proof of the theorem")…
Descriptors: Verbs, Nouns, Human Body, Natural Language Processing
Frazier, Lyn; Clifton, Charles, Jr.; Stolterfoht, Britta – Cognition, 2008
Gradable adjectives denote a function that takes an object and returns a measure of the degree to which the object possesses some gradable property [Kennedy, C. (1999). Projecting the adjective: The syntax and semantics of gradability and comparison. New York: Garland]. Scales, ordered sets of degrees, have begun to be studied systematically in…
Descriptors: Sentences, Semantics, Eye Movements, Form Classes (Languages)