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Sandra Wankmüller – Sociological Methods & Research, 2024
Transformer-based models for transfer learning have the potential to achieve high prediction accuracies on text-based supervised learning tasks with relatively few training data instances. These models are thus likely to benefit social scientists that seek to have as accurate as possible text-based measures, but only have limited resources for…
Descriptors: Social Science Research, Transfer of Training, Natural Language Processing, Artificial Intelligence
Lyla Parvez; Mahmoud Keshavarzi; Susan Richards; Giovanni M. Di Liberto; Usha Goswami – Journal of Speech, Language, and Hearing Research, 2024
Purpose: Developmental language disorder (DLD) is a multifaceted disorder. Recently, interest has grown in prosodic aspects of DLD, but most investigations of possible prosodic causes focus on speech perception tasks. Here, we focus on speech production from a speech amplitude envelope (AE) perspective. Perceptual studies have indicated a role for…
Descriptors: Children, Developmental Disabilities, Language Impairments, Imitation
Exploring Vowel Errors Produced in Nonword Repetition in Children with Speech and Language Disorders
Janet Vuolo; Taylor L. Gifford – International Journal of Language & Communication Disorders, 2024
Background: Accurate nonword repetition (NWR) is contingent on many underlying skills, including encoding, memory and motor planning and programming. Though vowel errors are frequently associated with childhood apraxia of speech (CAS), several recent studies have found that children with developmental language disorder (DLD) produce high rates of…
Descriptors: Child Language, Speech Impairments, Language Impairments, Vowels
Hosnia M. M. Ahmed; Shaymaa E. Sorour – Education and Information Technologies, 2024
Evaluating the quality of university exam papers is crucial for universities seeking institutional and program accreditation. Currently, exam papers are assessed manually, a process that can be tedious, lengthy, and in some cases, inconsistent. This is often due to the focus on assessing only the formal specifications of exam papers. This study…
Descriptors: Higher Education, Artificial Intelligence, Writing Evaluation, Natural Language Processing
Reima Al-Jarf – Online Submission, 2024
This study explores Arab university faculty's views on fully AI-generated assignments and research papers submitted by students, what reasons they give for their stance and how they react in this case. Surveys with a sample of 45 Arab instructors revealed that 98% do not accept AI-generated assignments and research papers from students at all.…
Descriptors: Assignments, Research Papers (Students), Foreign Countries, College Faculty
Lirong Tang; Yangxiaoxue Xu; Shiting Yang; Xiangyun Meng; Boqi Du; Chen Sun; Li Liu; Qi Dong; Yun Nan – Journal of Speech, Language, and Hearing Research, 2024
Purpose: Congenital amusia is a neurogenetic disorder of musical pitch processing. Its linguistic consequences have been examined separately for speech intonations and lexical tones. However, in a tonal language such as Chinese, the processing of intonations and lexical tones interacts with each other during online speech perception. Whether and…
Descriptors: Foreign Countries, Mandarin Chinese, Tone Languages, Intonation
Akvile Sinkeviciute; Julien Mayor; Mila Dimitrova Vulchanova; Natalia Kartushina – Language Learning, 2024
Color terms divide the color spectrum differently across languages. Previous studies have reported that speakers of languages that have different words for light and dark blue (e.g., Russian "siniy" and "goluboy") discriminate color chips sampled from these two linguistic categories faster than speakers of languages that use…
Descriptors: Foreign Countries, Bilingualism, Color, Visual Discrimination
Regina Hert; Juhani Järvikivi; Anja Arnhold – Cognitive Science, 2024
We report the results of one visual-world eye-tracking experiment and two referent selection tasks in which we investigated the effects of information structure in the form of prosody and word order manipulation on the processing of subject pronouns "er" and "der" in German. Factors such as subjecthood, focus, and topicality,…
Descriptors: Eye Movements, Form Classes (Languages), Language Processing, Grammar
Abdulkadir Kara; Eda Saka Simsek; Serkan Yildirim – Asian Journal of Distance Education, 2024
Evaluation is an essential component of the learning process when discerning learning situations. Assessing natural language responses, like short answers, takes time and effort. Artificial intelligence and natural language processing advancements have led to more studies on automatically grading short answers. In this review, we systematically…
Descriptors: Automation, Natural Language Processing, Artificial Intelligence, Grading
Christine E. Potter; Casey Lew-Williams – Journal of Child Language, 2024
We examined how noun frequency and the typicality of surrounding linguistic context contribute to children's real-time comprehension. Monolingual English-learning toddlers viewed pairs of pictures while hearing sentences with typical or atypical sentence frames ("Look at the…" vs. "Examine the…"), followed by nouns that were…
Descriptors: Child Language, Toddlers, Word Frequency, Sentences
Ibrahim Talaat Ibrahim; Najeh Rajeh Alsalhi; Atef F. I. Abdelkader; Nidal Alzboun; Abdellateef Alqawasmi – Eurasian Journal of Applied Linguistics, 2024
Artificial intelligence (AI) has become an integral component of human existence, with individuals employing AI tools in various facets of life. Among the most significant applications of AI is its role in facilitating communication among humans. The present study focuses on the use of AI in translating a crucial type of text that falls within the…
Descriptors: Artificial Intelligence, Translation, Geography, Politics
Salomé Do; Étienne Ollion; Rubing Shen – Sociological Methods & Research, 2024
The last decade witnessed a spectacular rise in the volume of available textual data. With this new abundance came the question of how to analyze it. In the social sciences, scholars mostly resorted to two well-established approaches, human annotation on sampled data on the one hand (either performed by the researcher, or outsourced to…
Descriptors: Computation, Social Sciences, Natural Language Processing, Artificial Intelligence
Mumford, Katherine H.; Aussems, Suzanne; Kita, Sotaro – Developmental Science, 2023
Previous research has shown a strong positive association between right-handed gesturing and vocabulary development. However, the causal nature of this relationship remains unclear. In the current study, we tested whether gesturing with the right hand enhances linguistic processing in the left hemisphere, which is contralateral to the right hand.…
Descriptors: Nonverbal Communication, Handedness, Toddlers, Vocabulary Development
Ronai, Eszter; Xiang, Ming – Cognitive Science, 2023
Memory limitations and probabilistic expectations are two key factors that have been posited to play a role in the incremental processing of natural language. Relative clauses (RCs) have long served as a key proving ground for such theories of language processing. Across three self-paced reading experiments, we test the online comprehension of…
Descriptors: Memory, Expectation, Language Processing, Syntax
Aneet Dharmavaram Narendranath; Jeffrey S. Allen – Journal of STEM Education: Innovations and Research, 2023
Investigations on the utility of reflective essays in engineering education are firmly grounded in the theory of metacognition. Besides being a tool to measure metacognition, insight acquired from assessing reflective essays can provide context for future instruction and assessment. Some challenges that hinder the critical assessment of reflective…
Descriptors: Engineering, Essays, Reflection, Information Retrieval