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Smail, Boussaadi; Aliane, Hassina; Abdeldjalil, Ouahabi – Education and Information Technologies, 2023
The search for relevant scientific articles is a crucial step in any research project. However, the vast number of articles published and available online in digital databases (Google Scholar, Semantic Scholar, etc.) can make this task tedious and negatively impact a researcher's productivity. This article proposes a new method of recommending…
Descriptors: Scientific and Technical Information, Journal Articles, Online Searching, Databases
Bunyawat Sriwangrach – Shanlax International Journal of Education, 2024
This contrastive corpus-based study aims to analyze the similarities and differences of two synonyms "important" and "significant" concerning on the degree of formality in their distribution across genres as well as their collocations and semantic preference. The corpus data derived from the Corpus of Contemporary American…
Descriptors: Contrastive Linguistics, Computational Linguistics, North American English, Language Usage
Andrea Domínguez-Lara; Wulfrano Arturo Luna-Ramírez – International Association for Development of the Information Society, 2022
The automatic code generation is the process of generating source code snippets from a program, i.e., code for generating code. Its importance lies in facilitating software development, particularly important is helping in the implementation of software designs such as engineering diagrams, in such a case, automatic code generation copes with the…
Descriptors: Programming, Coding, Computer Software, Programming Languages
Siew, Cynthia S. Q. – Cognitive Science, 2021
Various aspects of semantic features drive early vocabulary development, but less is known about how the global and local structure of the overall semantic feature space influences language acquisition. A feature network of English words was constructed from a large database of adult feature production norms such that edges in the network…
Descriptors: Second Language Learning, Semantics, Vocabulary Development, Databases
Iatrellis, Omiros; Panagiotakopoulos, Theodor; Gerogiannis, Vassilis C.; Fitsilis, Panos; Kameas, Achilles – Education and Information Technologies, 2021
One of the biggest challenges in building sustainable smart cities of the future is skill management and development. Developing the digital skills of the municipalities' workforce is crucial for all occupational profiles and specifically for those that are actively involved in the development and operation of digital services for a smart city. In…
Descriptors: Information Technology, Municipalities, Labor Force Development, Technological Literacy
Amandine Hippolyte; Nicolas Ribeiro; Laure Ibernon; Nathalie Marec-Breton; Christelle Declercq – First Language, 2025
This study aimed to establish normative data for 145 words using phonological and semantic association tasks with 242 French schoolchildren, ranging from ages 5 (Grande Section) to 8 (Cours Elémentaire 2), providing a fundamental resource for future research and educational planning. The participants were engaged in two primary tasks: a free…
Descriptors: French, Phonology, Semantics, Preschool Children
Arielle A. Gaither – ProQuest LLC, 2021
Bag-of-words is a commonly used text representation method for many text classification applications. However, bag-of-words representation fails to consider the context of the text because it only examines text documents based on the presence of individual words and explores relationships between texts with similar word choices (Bengfort, 2018).…
Descriptors: Journal Articles, Classification, Language Usage, Databases
Yu, Christine S. -P.; McBeath, Michael K.; Glenberg, Arthur M. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2021
The "gleam-glum effect" is a novel sound symbolic finding that words with the /i:/-phoneme (like "gleam") are perceived more positive emotionally than matched words with the /[open-mid back unrounded vowel]/-phoneme (like "glum"). We provide data that not only confirm the effect but also are consistent with an…
Descriptors: Phonemes, Databases, Phonology, Emotional Response
Allie Spencer Patterson – Vocabulary Learning and Instruction, 2023
Semantic variables enable L2 researchers and materials creators to quantify and control the effects of meaning on cognition. However, in recent years, many variables have been normed and published. Parsing the methods employed in norming this myriad of variables and which disparate theories informed their creation can be an opaque and arduous…
Descriptors: Semantics, Second Language Learning, Vocabulary Development, Language Research
Davis, E. Emory; Landau, Barbara – Language Learning and Development, 2021
Perception verbs and mental verbs have significant overlap in their syntax and semantics; both reference mental representations when taking embedded clauses, as in "I see that Maria was here" and "I think that Maria was here." Some have suggested that perception is more accessible for young children than mental states, raising…
Descriptors: Verbs, Semantics, Phrase Structure, Perception
Key, Alexandra P.; D'Ambrose Slaboch, Kathryn – Journal of Speech, Language, and Hearing Research, 2021
Purpose: Investigations into the nature of communication disorders in autistic individuals increasingly evaluate neural responses to speech stimuli. This integrative review aimed to consolidate the available data related to speech and language processing across levels of stimulus complexity (from single speech sounds to sentences) and to relate it…
Descriptors: Speech Communication, Databases, Language Processing, Semantics
Peter Organisciak; Michele Newman; David Eby; Selcuk Acar; Denis Dumas – Grantee Submission, 2023
Purpose: Most educational assessments tend to be constructed in a close-ended format, which is easier to score consistently and more affordable. However, recent work has leveraged computation text methods from the information sciences to make open-ended measurement more effective and reliable for older students. This study asks whether such text…
Descriptors: Learning Analytics, Child Language, Semantics, Age Differences