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Asymmetries in relative clause comprehension in three European sign languages
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In: Glossa: a journal of general linguistics; Vol 6, No 1 (2021); 72 ; 2397-1835 (2021)
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22 |
Constituent order in Serbian Sign Language declarative clauses
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In: Glossa: a journal of general linguistics; Vol 6, No 1 (2021); 39 ; 2397-1835 (2021)
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Database of adnominal possessive constructions in the Malayo-Polynesian languages of Southeast Asia ...
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Database of adnominal possessive constructions in the Malayo-Polynesian languages of Southeast Asia ...
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27 |
Database of adnominal possessive constructions in the Malayo-Polynesian languages of Southeast Asia ...
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28 |
Factors Behind the Effectiveness of an Unsupervised Neural Machine Translation System between Korean and Japanese
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In: Applied Sciences ; Volume 11 ; Issue 16 (2021)
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Characterizing the Typical Information Curves of Diverse Languages
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In: Entropy ; Volume 23 ; Issue 10 (2021)
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30 |
Similar but different: investigating temporal constructions in sign language
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In: Glossa: a journal of general linguistics; Vol 6, No 1 (2021); 2 ; 2397-1835 (2021)
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Conative calls to animals: From Arusa Maasai to a cross-linguistic prototype ...
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Conative calls to animals: From Arusa Maasai to a cross-linguistic prototype ...
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36 |
Inductive Bias and Modular Design for Sample-Efficient Neural Language Learning ...
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Abstract:
Most of the world's languages suffer from the paucity of annotated data. This curbs the effectiveness of supervised learning, the most widespread approach to modelling language. Instead, an alternative paradigm could take inspiration from the propensity of children to acquire language from limited stimuli, in order to enable machines to learn any new language from a few examples. The abstract mechanisms underpinning this ability include 1) a set of in-born inductive biases and 2) the deep entrenchment of language in other perceptual and cognitive faculties, combined with the ability to transfer and recombine knowledge across these domains. The main contribution of my thesis is giving concrete form to both these intuitions. Firstly, I argue that endowing a neural network with the correct inductive biases is equivalent to constructing a prior distribution over its weights and its architecture (including connectivity patterns and non-linear activations). This prior is inferred by "reverse-engineering" a ... : ERC (Consolidator Grant 648909) Lexical Google Research Faculty Award 2018 ...
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Keyword:
Bayesian Models; Deep Learning; Inductive Bias; Linguistic Typology; Modularity; Multilingual Natural Language Processing; Neural Networks; Sample Efficiency; Systematic Generalisation
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URL: https://dx.doi.org/10.17863/cam.66424 https://www.repository.cam.ac.uk/handle/1810/319303
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37 |
Word classes in language contact
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In: The Oxford Handbook of Word Classes ; https://halshs.archives-ouvertes.fr/halshs-03276022 ; The Oxford Handbook of Word Classes, In press (2021)
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39 |
Universals of reference in discourse and grammar: Evidence from the Multi-CAST collection of spoken corpora
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