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Mahowald, Kyle; Kachergis, George; Frank, Michael C. – First Language, 2020
Ambridge calls for exemplar-based accounts of language acquisition. Do modern neural networks such as transformers or word2vec -- which have been extremely successful in modern natural language processing (NLP) applications -- count? Although these models often have ample parametric complexity to store exemplars from their training data, they also…
Descriptors: Models, Language Processing, Computational Linguistics, Language Acquisition
Nicula, Bogdan; Dascalu, Mihai; Newton, Natalie N.; Orcutt, Ellen; McNamara, Danielle S. – Grantee Submission, 2021
Learning to paraphrase supports both writing ability and reading comprehension, particularly for less skilled learners. As such, educational tools that integrate automated evaluations of paraphrases can be used to provide timely feedback to enhance learner paraphrasing skills more efficiently and effectively. Paraphrase identification is a popular…
Descriptors: Computational Linguistics, Feedback (Response), Classification, Learning Processes
Jennifer Hu – ProQuest LLC, 2023
Language is one of the hallmarks of intelligence, demanding explanation in a theory of human cognition. However, language presents unique practical challenges for quantitative empirical research, making many linguistic theories difficult to test at naturalistic scales. Artificial neural network language models (LMs) provide a new tool for studying…
Descriptors: Linguistic Theory, Computational Linguistics, Models, Language Research
Keezhatta, Muhammed Salim – Arab World English Journal, 2019
Natural Language Processing (NLP) platforms have recently reported a higher adoption rate of Artificial Intelligence (AI) applications. The purpose of this research is to examine the relationship between NLP and AI in the application of linguistic tasks related to morphology, parsing, and semantics. To achieve this objective, a theoretical…
Descriptors: Models, Correlation, Natural Language Processing, Artificial Intelligence
Nofriansyah, Dicky; Ganefri; Ridwan – International Journal of Evaluation and Research in Education, 2020
This research focused on the development a new learning model in Vocational Education to answer the challenges of this Industrial Revolution 4.0 era. The problem identified was the lack of learning outcomes, especially subjects oriented to software engineering for information systems students in particular and other computer science seen in the…
Descriptors: Foreign Countries, Computer Software, Engineering, Vocational Education
Dizon, Gilbert; Gayed, John M. – JALT CALL Journal, 2021
While the use of automated writing evaluation software has received much attention in CALL literature, as Frankenberg-Garcia (2019) notes, empirical research on predictive text and intelligent writing assistants is lacking. Thus, this study addressed this gap in the literature by examining the impact of Grammarly, an intelligent writing assistant…
Descriptors: Foreign Countries, College Students, Writing Evaluation, Computer Software
Kartal, Erdogan – Educational Sciences: Theory and Practice, 2019
This study is about artificial neural network modeling of the linguistic challenges encountered by students learning Turkish as a foreign language in universities in France. The study was conducted in four universities where Turkish is taught as an optional foreign language. Sixty-six students whose mother tongues were either Arabic or French…
Descriptors: Turkish, French, Second Language Learning, Second Language Instruction
Feng, Mingyu, Ed.; Käser, Tanja, Ed.; Talukdar, Partha, Ed. – International Educational Data Mining Society, 2023
The Indian Institute of Science is proud to host the fully in-person sixteenth iteration of the International Conference on Educational Data Mining (EDM) during July 11-14, 2023. EDM is the annual flagship conference of the International Educational Data Mining Society. The theme of this year's conference is "Educational data mining for…
Descriptors: Information Retrieval, Data Analysis, Computer Assisted Testing, Cheating

Jones, Leslie P.; And Others – Journal of the American Society for Information Science, 1990
Describes two computer programs--INDEX and INDEXD--that use statistical information about repeated phrases in documents to automatically index documents at the conceptual level. Sample output of the programs is provided, and plans to combine this method with linguistic and artificial intelligence techniques to provide a general conceptual…
Descriptors: Algorithms, Artificial Intelligence, Automatic Indexing, Computational Linguistics

Schwarz, Christoph – Information Processing and Management, 1990
Gives an overview of various linguistic software tools in the field of intelligent text handling that are being developed in Germany utilizing artificial intelligence techniques in the field of natural language processing. Syntactical analysis of documents is described and application areas are discussed. (10 references) (LRW)
Descriptors: Artificial Intelligence, Computer Software, Content Analysis, Documentation
Ladouceur, Jacques – 1988
This study reports the use of automated textual analysis on a French novel. An introductory section chronicles the history of artificial intelligence, focusing on its use with natural languages, and discusses its application to textual syntax. The first chapter examines computational linguistics in greater detail, looking at its relationship to…
Descriptors: Artificial Intelligence, Computational Linguistics, Computer Software, Discourse Analysis

Teodorescu, Ioana – Canadian Library Journal, 1987
Compares artificial intelligence and information retrieval paradigms for natural language understanding, reviews progress to date, and outlines the applicability of artificial intelligence to question answering systems. A list of principal artificial intelligence software for database front end systems is appended. (CLB)
Descriptors: Artificial Intelligence, Computer Software, Information Retrieval, Information Science

Brand, James – CALICO Journal, 1987
Describes the language learning program "Acquire," which is a sample of grammar induction. It is a learning algorithm based on a pattern-matching scheme, using both a positive and negative network to reduce overgeneration. Language learning programs may be useful as tutorials for learning the syntax of a foreign language. (Author/LMO)
Descriptors: Artificial Intelligence, Computational Linguistics, Computer Assisted Instruction, Computer Software