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"Artificial languages"
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In the land of invented languages : a celebration of linguistic creativity, madness, and genius
Okrent tells the fascinating and highly entertaining history of man's enduring quest to build a better language. Peopled with charming eccentrics and exasperating megalomaniacs, the land of invented languages is a place where you can recite the Lord's Prayer in John Wilkins's Philosophical Language, say your wedding vows in Loglan, and read \"Alice's Adventures in Wonderland\" in Lojban--not to mention Babm, Blissymbolics, and the nearly nine hundred other invented languages featured in this language-lover's book.
Production Practice During Language Learning Improves Comprehension
by
Hopman, Elise W. M.
,
MacDonald, Maryellen C.
in
Artificial languages
,
Comprehension
,
Individual differences
2018
Language learners often spend more time comprehending than producing a new language. However, memory research suggests reasons to suspect that production practice might provide a stronger learning experience than comprehension practice. We tested the benefits of production during language learning and the degree to which this learning transfers to comprehension skill. We taught participants an artificial language containing multiple linguistic dependencies. Participants were randomly assigned to either a production- or a comprehension-learning condition, with conditions designed to balance attention demands and other known production–comprehension differences. After training, production-learning participants outperformed comprehension-learning participants on vocabulary comprehension and on comprehension tests of grammatical dependencies, even when we controlled for individual differences in vocabulary learning. This result shows that producing a language during learning can improve subsequent comprehension, which has implications for theories of memory and learning, language representations, and educational practices.
Journal Article
Knowledge representation, reasoning and declarative problem solving
by
Baral, Chitta, author
in
Logic programming languages.
,
Expert systems (Computer science)
,
Artificial intelligence.
2010
Baral shows how to write programs that behave intelligently, by giving them the ability to express knowledge and to reason. This book will appeal to practising and would-be knowledge engineers wishing to learn more about the subject in courses or through self-teaching.
Children’s sensitivity to phonological and semantic cues during noun class learning: Evidence for a phonological bias
by
Haggarty, Frances
,
Smith, Kenny
,
Jarvinen, Hanna
in
Acquisition
,
Adults
,
Artificial languages
2019
Previous research on the acquisition of noun classification systems (e.g. grammatical gender) has found that child learners rely disproportionately on phonological cues to determine the class of a new noun, even when competing semantic cues are more reliable in their language. Culbertson, Gagliardi, and Smith (2017) use artificial language learning experiments with adults to argue that this likely results from the early availability of phonological information during acquisition. Learners base their initial representations on formal features of nouns, only later integrating semantic cues from noun meanings. Here, we use these same methods to show that early availability affects cue use in children (six- to seven-year-olds) as well. However, we also find evidence of developmental changes in sensitivity to semantics; when both cue types are simultaneously available, children are more likely to rely on phonology than adults are. Our results suggest that both early availability and a bias favoring phonological cues contribute to children's overreliance on phonology in natural language acquisition.
Journal Article
Harnessing chatbots for effective language teaching
by
González Vallejo, Rubén, 1991- editor
in
Language and languages Study and teaching Technological innovations
,
Artificial intelligence Educational applications
,
Chatbots
2025
\"The book explores the intersection between artificial intelligence (AI) and language education, offering a comprehensive guide for educators, researchers, and technology enthusiasts interested in leveraging AI to enhance language teaching methodologies and learning outcomes. Aimed at language teachers, academics, EdTech developers, and policymakers, the book addresses key topics such as the introduction of AI technologies in language teaching, AI-powered learning tools, and how these technologies can personalize instruction to meet individual students' needs, thus improving engagement and effectiveness\"-- Provided by publisher.
Learning without awareness revisited and reconsidered
2024
Is it possible to acquire a sensitivity to a regularity in language without intending to and without awareness of what it is? In this conceptual replication and extension of an earlier study (Williams, 2005) participants were trained on a semiartificial language in which determiner choice was dependent on noun animacy. Participants who did not report awareness or recognition of this rule were nevertheless above chance at selecting the correct determiner in novel contexts. However, further analyses based on trial-by-trial subjective judgments and item similarity statistics were consistent with the possibility that responses were based on conscious feelings of familiarity or analogy to trained items rather than unconscious knowledge of a semantic generalization. The results are discussed in terms of instance-based approaches to memory and language, and the implications for the concept of “learning without awareness” are considered.
Journal Article
Robots and AI
by
Troup, Roxanne, author
in
Readers Robots.
,
Readers Artificial intelligence.
,
Robots Juvenile literature.
2023
Use your reading superpowers to learn all about different robots and artificial intelligence in this high-quality, fun, non-fiction reader.
CHILDBOOK
The effect of verb surprisal on the acquisition of second language syntactic structures in adults: An artificial language learning study
2024
Inverse probability adaptation effects (the finding that encountering a verb in an unexpected structure increases long-term priming for that structure) have been observed in both L1 and L2 speakers. However, participants in these studies all had established representations of the syntactic structures to be primed. It therefore remains an open question whether inverse probability adaptation effects could take place with newly encountered L2 structures. In a pre-registered experiment, we exposed participants ( n = 84) to an artificial language with active and passive constructions. Training on Day 1 established expectations for specific co-occurrence patterns between verbs and structures. On Day 2, established patterns were violated for the surprisal group ( n = 42), but not for the control group ( n = 42). We observed no immediate priming effects from exposure to high-surprisal items. On Day 3, however, we observed an effect of input variation on comprehension of verb meaning in an auditory grammaticality judgment task. The surprisal group showed higher accuracy for passive structures in both tasks, suggesting that experiencing variation during learning had promoted the recognition of optionality in the target language.
Journal Article