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1
Talking about torment : agency assignment and grammatical metaphor in pain communication ...
Wang, Yiwei Ph. D. In Communication Studies; 0000-0003-3633-7951. - : The University of Texas at Austin, 2020
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2
Algorithms for learning to induce programs
Ellis, Kevin,Ph. D.(Kevin M.)Massachusetts Institute of Technology.. - : Massachusetts Institute of Technology, 2020
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3
An experimental approach to recomplementation : evidence from monolingual and bilingual Spanish
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4
Noun incorporation and resultative verb compounding in Mandarin Chinese
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5
How do Mandarin-speaking children learn shape classifiers?
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6
Teachers’ and center leaders’ sensemaking of inquiry-based professional learning in early childhood education and care programs : a multiple case study
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7
Marketing of Library Services for Enhanced Accessibility in National Open University of Nigeria: Challenges and Strategies for Intervention
In: Library Philosophy and Practice (e-journal) (2019)
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8
Presuppositions in context
Aravind, Athulya, Ph. D. Massachusetts Institute of Technology. - : Massachusetts Institute of Technology, 2018
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9
Unsupervised learning of lexical subclasses from phonotactics
Morita, Takashi, Ph. D. Massachusetts Institute of Technology. - : Massachusetts Institute of Technology, 2018
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10
Unsupervised learning of disentangled representations for speech with neural variational inference models
Hsu, Wei-Ning, Ph. D. Massachusetts Institute of Technology. - : Massachusetts Institute of Technology, 2018
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11
Knowing and doing, well and good
Jaques, Abby Everett, Ph. D. Massachusetts Institute of Technology. - : Massachusetts Institute of Technology, 2018
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12
Ethics for artificial agents
Gray, David Michael, Ph. D. Massachusetts Institute of Technology. - : Massachusetts Institute of Technology, 2018
Abstract: Thesis: Ph. D. in Philosophy, Massachusetts Institute of Technology, Department of Linguistics and Philosophy, 2018. ; Cataloged from PDF version of thesis. ; Includes bibliographical references (pages 121-125). ; Machine ethics is a nascent subfield of computer ethics that focuses on the ethical issues involved in the design of autonomous software agents ("artificial agents"). Chapter 1 of this thesis considers how best to understand the central projects of this new subfield, and reconstructs a prominent theory of how artificial agents ought to be designed. This theory, which I call the "agential theory" of machine ethics, says that artificial agents morally ought to be designed to behave only in ways that would be permissible for a human agent to behave, and that only artificial agents that have been designed in this way are morally permissible for human beings to use. Chapter 2 critically assesses two versions of the agential theory-one that assumes that artificial agents are moral agents, and another that does not. After considering arguments for both versions of the theory, I argue that both versions should be rejected. Chapter 3 sets out and analyzes a case study in machine ethics, focusing on the development of an artificial agent to assist with the planning of a public health social work intervention. ; by David Michael Gray. ; Ph. D. in Philosophy
Keyword: Linguistics and Philosophy
URL: http://hdl.handle.net/1721.1/120677
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13
Beliefs about grammar instruction among post-secondary second-language learners and teachers
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14
The effects of a text structure and paraphrasing intervention on the main idea generation and reading comprehension of struggling readers in grades 4 and 5
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15
Literacies of surveillance : transfronterizo children translanguaging identity across borders, inspectors and surveillance
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16
Why belonging matters for college students’ academic engagement : antecedents and consequences of sense of classroom belonging
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17
The morphosemantics and morphosyntax of the Malayalam verb
Swenson, Amanda, Ph. D. Massachusetts Institute of Technology. - : Massachusetts Institute of Technology, 2017
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18
Transfer learning for low-resource natural language analysis
Zhang, Yuan, Ph. D. Massachusetts Institute of Technology. - : Massachusetts Institute of Technology, 2017
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19
An inflexible semantics for cross-categorial operators
Hirsch, Aron, Ph. D. Massachusetts Institute of Technology. - : Massachusetts Institute of Technology, 2017
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20
Multi-modal and deep learning for robust speech recognition
Feng, Xue, Ph. D. Massachusetts Institute of Technology. - : Massachusetts Institute of Technology, 2017
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