Search results for: learning-artificial-languages

Implicit Learning of Artificial Languages

Author : David Russell Adams
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Learning Artificial Languages

Author : Angela Carpenter
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If Universal Grammar (UG) can aid adult second language acquisition an important question arises: are linguistic principles that are not active in the native language also accessible to second language learners? This question of adult accessibility to UG is addressed by investigating whether a specific phonological principle that does not exist in the subjects' native language is accessible to adult learners. Artificial languages were constructed to compare the acquisition of a stress system that follows a natural phonological principle with one that is almost identical to the same principle, but differs in one feature, thus making it an "unnatural" system. If second language learners have access to innate universal linguistic principles they should be better able to learn the natural rule over the unnatural one. The positive results lend support to the idea of adult second language learners having access to UG. This book should be of interest to educators and researchers in the fields of artificial language learning, second language acquisition and phonological stress or those with a general interest in laboratory phonology.

Encyclopedia of the Sciences of Learning

Author : Norbert M. Seel
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Over the past century, educational psychologists and researchers have posited many theories to explain how individuals learn, i.e. how they acquire, organize and deploy knowledge and skills. The 20th century can be considered the century of psychology on learning and related fields of interest (such as motivation, cognition, metacognition etc.) and it is fascinating to see the various mainstreams of learning, remembered and forgotten over the 20th century and note that basic assumptions of early theories survived several paradigm shifts of psychology and epistemology. Beyond folk psychology and its naïve theories of learning, psychological learning theories can be grouped into some basic categories, such as behaviorist learning theories, connectionist learning theories, cognitive learning theories, constructivist learning theories, and social learning theories. Learning theories are not limited to psychology and related fields of interest but rather we can find the topic of learning in various disciplines, such as philosophy and epistemology, education, information science, biology, and – as a result of the emergence of computer technologies – especially also in the field of computer sciences and artificial intelligence. As a consequence, machine learning struck a chord in the 1980s and became an important field of the learning sciences in general. As the learning sciences became more specialized and complex, the various fields of interest were widely spread and separated from each other; as a consequence, even presently, there is no comprehensive overview of the sciences of learning or the central theoretical concepts and vocabulary on which researchers rely. The Encyclopedia of the Sciences of Learning provides an up-to-date, broad and authoritative coverage of the specific terms mostly used in the sciences of learning and its related fields, including relevant areas of instruction, pedagogy, cognitive sciences, and especially machine learning and knowledge engineering. This modern compendium will be an indispensable source of information for scientists, educators, engineers, and technical staff active in all fields of learning. More specifically, the Encyclopedia provides fast access to the most relevant theoretical terms provides up-to-date, broad and authoritative coverage of the most important theories within the various fields of the learning sciences and adjacent sciences and communication technologies; supplies clear and precise explanations of the theoretical terms, cross-references to related entries and up-to-date references to important research and publications. The Encyclopedia also contains biographical entries of individuals who have substantially contributed to the sciences of learning; the entries are written by a distinguished panel of researchers in the various fields of the learning sciences.

Learning Quality and Quantity Sensitive Stress in Artificial Languages

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Language and Language Behavior Abstracts

Author :
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Language Mind and Nature

Author : Rhodri Lewis
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In the attempt to make good one of the desiderata in Bacon's Advancement of Learning, a cohort of seventeenth-century philosophers, scientists, schoolmasters, clergymen and virtuosi attempted to devise artificial languages that would immediately represent the order of thought. This was believed directly to represent the order of things and to be a universal characteristic of the human mind. Language, Mind and Nature is a 2007 text which fully reconstructs this artificial language movement. In so doing, it reveals a great deal about the beliefs and activities of those who sought to reform learning in seventeenth-century England. Artificial languages straddle occult, religious and proto-scientific approaches to representation and communication, and suggest that much of the so-called 'new philosophy' was not very new at all. This study broke important ground within its field, and will interest anyone concerned with early modern intellectual history or with the history of linguistic thought in general.

Artificial Languages

Author : Arshavir W. Blackwell
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Cognitive Individual Differences in Second Language Processing and Acquisition

Author : Gisela Granena
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Cognitive Individual Differences in Second Language Processing and Acquisition contains 14 chapters that focus on the role of cognitive IDs in L2 learning and processing. The book brings together theoretical and methodological approaches to the study of cognitive IDs, as well as empirical studies that investigate the mediating role of cognitive IDs in various linguistic domains. Chapters include contributions from researchers working within second language acquisition (SLA), psycholinguistics, and cognitive psychology, sharing a common interest in the application of cognitive IDs to their respective areas of study. The interdisciplinary understanding of cognitive IDs presented in this book makes the book of interest to a wide readership of graduate students, faculty members, and academic researchers in the fields of SLA, psycholinguistics, cognitive psychology, and education.

Implicit and Explicit Learning of Artificial Languages

Author : Selma Lewis
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Attention and Awareness in Foreign Language Learning

Author : Richard W. Schmidt
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Presents research into the learning of Spanish, Japanese, Finnish, Hawaiian, and English as a second language, with additional comments and examples from French, German, and miniature artificial languages.

The Usage based Study of Language Learning and Multilingualism

Author : Lourdes Ortega
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Usage-based linguistics, which is currently very popular, bases its understanding of language on two key points: Languages are cognitive-social constructs (i.e., learned vs genetically endowed), and, in order for communication and meaning to happen, speakers must find a way to meet/understand each other, overcoming various differences (lexicon, social, register, etc.) to arrive there. In this book, high-level contributors combine research from various usage-based perspectives to explore these questions: How do proficient speakers accomplish 'mental contact' or communication through the available semiotic linguistic resources they share with other members of their discourse community? How do young children learn to accomplish this? And how do speakers of multiple languages learn to accomplish this across languages?

Library of Congress Subject Headings

Author : Library of Congress. Cataloging Policy and Support Office
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Library of Congress Subject Headings

Author : Library of Congress
File Size : 59.1 MB
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Categories and Processes in Language Acquisition

Author : Yonata Levy
File Size : 31.19 MB
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Learning Hierarchies

Author : Benjamin M. Faber
File Size : 39.88 MB
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Natural Artificial Languages

Author : Gary Stephen Perlman
File Size : 36.29 MB
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An artificial language is one created for concise and precise communication within a limited domain such as mathematics. A natural artificial language is one that people find easy to learn and use. The author discusses low-level properties of natural artificial languages, especially those in which names are chosen for concepts, and symbols are chosen for names, a class of artificial languages he calls linguistically mediated artificial languages. These properties include choosing mnemonic symbols for names, and suggestive names for concepts, and using both internally and externally consistent syntax. He outlines a model of processing linguistically mediated artificial language and present results from experiments in support of the model. The results of the experiments are applied to the design of a user interface to a programming system, demonstrating their practicality along with their theoretical interest. The research shows the tradeoffs in designing natural artificial languages: naturalness in a specific domain is gained at the cost of generality for other domains. (Author).

Experiments in Second language Learning

Author : Edward J. Crothers
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Report of the Conference on Psychological Experiments Related to Second Language Learning

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Examines expert advice concerning research on the psychology of second-language learning.

MLA International Bibliography of Books and Articles on the Modern Languages and Literatures

Author : Modern Language Association of America
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Vols. for 1969- include ACTFL annual bibliography of books and articles on pedagogy in foreign languages 1969-

Hiroshima Forum for Psychology

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