Epistemological issue with keynote article “The role of language processing in language acquisition” by Colin Phillips and Lara Ehrenhofer

2015 ◽  
Vol 5 (4) ◽  
Keyword(s):  
Language Acquisition ◽  
Language Processing ◽  
Epistemological Issue

Language processing and language acquisition through the lens of Relational Morphology

2019 ◽  
pp. 201-232
Author(s):  
Ray Jackendoff ◽  
Jenny Audring
Keyword(s):  
Language Acquisition ◽  
Language Processing ◽  
Language Production ◽  
Long Term Memory ◽  
Spreading Activation ◽  
Linguistic Representations ◽  
Memory Network ◽  
Complex Words

This chapter asks what is happening to linguistic representations during language use, and how representations are formed in the course of language acquisition. It is shown how Relational Morphology’s theory of representations can be directly embedded into models of processing and acquisition. Central is that the lexicon, complete with schemas and relational links, constitutes the long-term memory network that supports language production and comprehension. The chapter first discusses processing: the nature of working memory; promiscuous (opportunistic) processing; spreading activation; priming; probabilistic parsing; the balance between storage and computation in recognizing morphologically complex words; and the role of relational links and schemas in word retrieval. It then turns to acquisition, which is to be thought of as adding nodes and relational links to the lexical network. The general approach is based on the Propose but Verify procedure of Trueswell et al. (2013), plus conservative generalization, as in usage-based approaches.

scholarly journals PREDICTION AND ERROR-BASED LEARNING IN L2 PROCESSING AND ACQUISITION

2021 ◽  
pp. 1-26
Author(s):  
Giulia Bovolenta ◽  
Emma Marsden
Keyword(s):  
Language Acquisition ◽  
Computational Modeling ◽  
Language Learning ◽  
Empirical Evidence ◽  
Language Processing ◽  
Prediction Error ◽  
Predictive Processing ◽  
L2 Processing ◽  
L1 And L2

Abstract There is currently much interest in the role of prediction in language processing, both in L1 and L2. For language acquisition researchers, this has prompted debate on the role that predictive processing may play in both L1 and L2 language learning, if any. In this conceptual review, we explore the role of prediction and prediction error as a potential learning aid. We examine different proposed prediction mechanisms and the empirical evidence for them, alongside the factors constraining prediction for both L1 and L2 speakers. We then review the evidence on the role of prediction in learning languages. We report computational modeling that underpins a number of proposals on the role of prediction in L1 and L2 learning, then lay out the empirical evidence supporting the predictions made by modeling, from research into priming and adaptation. Finally, we point out the limitations of these mechanisms in both L1 and L2 speakers.

scholarly journals Contributions of linguistic typology to psycholinguistics

2016 ◽  
Vol 20 (3) ◽  
Author(s):  
Harald Clahsen
Keyword(s):  
Language Acquisition ◽  
Language Processing ◽  
Experimental Research ◽  
Linguistic Diversity ◽  
Morphological Variability ◽  
Language Disorders ◽  
Psycholinguistic Research ◽  
Linguistic Typology ◽  
Processing Language

AbstractThis article first outlines different ways of how psycholinguists have dealt with linguistic diversity and illustrates these approaches with three familiar cases from research on language processing, language acquisition, and language disorders. The second part focuses on the role of morphology and morphological variability across languages for psycholinguistic research. The specific phenomena to be examined are to do with stem-formation morphology and inflectional classes; they illustrate how experimental research that is informed by linguistic typology can lead to new insights.

Könyvismertetések

2007 ◽  
Vol 62 (2) ◽  
pp. 253-265
Author(s):  
István Fekete ◽  
Mária Gósy ◽  
Rozália Eszter Ivády ◽  
Péter Kardos
Keyword(s):  
Second Language ◽  
Second Language Acquisition ◽  
Language Acquisition ◽  
Speech Production ◽  
Perception And Action

DianePecherés RolfA. Zwaan(szerk.): Grounding cognition: The role of perception and action in memory, language, and thinking (Fekete István)     253 CsépeValéria: Az olvasó agy (Gósy Mária) 256 Kormos, Judit: Speech production and second language acquisition (Ivády Rozália Eszter)      260 MarosánGyörgy: Hogyan készül a történelem? (Kardos Péter) 263

The Role of Noun Animacy in Language Processing

2013 ◽  
Vol 21 (8) ◽  
pp. 1371-1381
Author(s):  
Guangzhen JIA ◽  
Youyi LIU ◽  
Hua SHU ◽  
Xiaoping Fang
Keyword(s):  
Language Processing

Language Ideology and Second Language Learning

2008 ◽  
Vol 155 ◽  
pp. 95-115 ◽  
Author(s):  
Theresa McGarry
Keyword(s):  
Second Language ◽  
Second Language Acquisition ◽  
Language Acquisition ◽  
Language Learning ◽  
Language Ideology ◽  
Second Language Learning ◽  
Classroom Practices ◽  
Explanatory Power

AbstractThe increasing recognition of the concept language ideology and the corresponding increasing use of the term have not yet been matched by applications in the field of second language acquisition. However, applications of the concept in analysis of actual classroom practices have shown it to have considerable explanatory power. Greater consideration of language ideology in SLA is necessary not only to achieve greater understanding of the role of ideology in various areas but also to show connections between these areas that may yield important generalizations and to impel the application of the concept in areas where it has been neglected by highlighting its uneven treatment.

scholarly journals Attribution of autonomy and its role in robotic language acquisition

AI & Society ◽  
2021 ◽  
Author(s):  
Frank Förster ◽  
Kaspar Althoefer
Keyword(s):  
Language Acquisition ◽  
Potential Role ◽  
Developmental Psychology ◽  
Baseline Scenario ◽  
Behavioral Repertoire ◽  
High Frequencies ◽  
Emotional Displays ◽  
And Robotics ◽  
Respective Characteristic

AbstractThe false attribution of autonomy and related concepts to artificial agents that lack the attributed levels of the respective characteristic is problematic in many ways. In this article, we contrast this view with a positive viewpoint that emphasizes the potential role of such false attributions in the context of robotic language acquisition. By adding emotional displays and congruent body behaviors to a child-like humanoid robot’s behavioral repertoire, we were able to bring naïve human tutors to engage in so called intent interpretations. In developmental psychology, intent interpretations can be hypothesized to play a central role in the acquisition of emotion, volition, and similar autonomy-related words. The aforementioned experiments originally targeted the acquisition of linguistic negation. However, participants produced other affect- and motivation-related words with high frequencies too and, as a consequence, these entered the robot’s active vocabulary. We will analyze participants’ non-negative emotional and volitional speech and contrast it with participants’ speech in a non-affective baseline scenario. Implications of these findings for robotic language acquisition in particular and artificial intelligence and robotics more generally will also be discussed.

Deep Structured Learning for Natural Language Processing

2021 ◽  
Vol 20 (3) ◽  
pp. 1-14
Author(s):  
Yong Li ◽  
Xiaojun Yang ◽  
Min Zuo ◽  
Qingyu Jin ◽  
Haisheng Li ◽  
...  
Keyword(s):  
Public Opinion ◽  
Food Safety ◽  
Language Processing ◽  
Early Warning ◽  
Conditional Random Field ◽  
Semantic Features ◽  
Related Sequence ◽  
The Public ◽  
Network Public Opinion

The real-time and dissemination characteristics of network information make net-mediated public opinion become more and more important food safety early warning resources, but the data of petabyte (PB) scale growth also bring great difficulties to the research and judgment of network public opinion, especially how to extract the event role of network public opinion from these data and analyze the sentiment tendency of public opinion comment. First, this article takes the public opinion of food safety network as the research point, and a BLSTM-CRF model for automatically marking the role of event is proposed by combining BLSTM and conditional random field organically. Second, the Attention mechanism based on vocabulary in the field of food safety is introduced, the distance-related sequence semantic features are extracted by BLSTM, and the emotional classification of sequence semantic features is realized by using CNN. A kind of Att-BLSTM-CNN model for the analysis of public opinion and emotional tendency in the field of food safety is proposed. Finally, based on the time series, this article combines the role extraction of food safety events and the analysis of emotional tendency and constructs a net-mediated public opinion early warning model in the field of food safety according to the heat of the event and the emotional intensity of the public to food safety public opinion events.

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