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Hits 1 – 16 of 16

1
The semantic representation of natural language
Levison, Michael. - Paperback ed. - London [u.a.] : Bloomsbury, 2014
IDS Mannheim
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2
The semantic representation of natural language
Levison, Michael. - London [u.a.] : Bloomsbury, 2013
BLLDB
UB Frankfurt Linguistik
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3
The Algorithmic Expansion of Stories
BASE
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4
Computational generation of limericks
In: LLC. - Oxford : Oxford Univ. Press 20 (2005), 89-105
BLLDB
OLC Linguistik
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5
Computational Generation of Limericks
Lessard, Greg; Levison, Michael. - : Oxford University Press, 2005
BASE
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6
Computational Generation of Limericks
Lessard, Greg; Levison, Michael. - : Oxford University Press, 2005
BASE
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7
Lexical creativity in L2 French
In: International review of applied linguistics in language teaching. - Berlin : de Gruyter 39 (2001) 3, 245-257
BLLDB
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8
Lexical creativity in L2 French
In: International review of applied linguistics in language teaching. - Berlin : de Gruyter 39 (2001) 3, 245
OLC Linguistik
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9
A multi-level approach to the detection of second language learner errors
In: Literary & linguistic computing. - Oxford : Oxford Univ. Press 15 (2000) 3, 313-322
BLLDB
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10
A Multi-Level Approach to the Detection of Second Language Learner Errors
In: Literary & linguistic computing. - Oxford : Oxford Univ. Press 15 (2000) 3, 313-322
OLC Linguistik
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11
Using a Language Generation System for Second Language Learning
In: Computer assisted language learning. - Colchester [u.a.] : Taylor & Francis 9 (1996) 2-3, 181-190
OLC Linguistik
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12
Syntax and morphology in verb phrase generation
In: Literary & linguistic computing. - Oxford : Oxford Univ. Press 10 (1995) 4, 237-245
BLLDB
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13
Instructions, Intentions and Expectations
In: ftp://ftp.cis.upenn.edu/pub/ircs/tr/94-01.ps.Z (1995)
Abstract: Based on an ongoing attempt to integrate Natural Language instructions with human figure animation, we demonstrate that agents' understanding and use of instructions can complement what they can derive from the environment in which they act. We focus on two attitudes that contribute to agents' behavior -- their intentions and their expectations -- and shown how Natural Language instructions contribute to such attitudes in ways that complement the environment. We also show that instructions can require more than one context of interpretation and thus that agents' understanding of instructions can evolve as their activity progresses. A significant consequence is that Natural Language understanding in the context of behavior cannot simply be treated as "front end" processing, but rather must be integrated more deeply into the processes that guide an agent's behavior and respond to its perceptions. 1 Introduction This is a short position paper on what we have learned about language, behav.
URL: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.55.2535
BASE
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14
New words from old : a formalism for word-formation
In: Computers and the humanities. - Dordrecht [u.a.] : Kluwer 29 (1995) 6, 463-479
BLLDB
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15
Syntax and Morphology in Verb Phrase Generation
LESSARD, GREG; LEVISON, MICHAEL. - : Oxford University Press, 1995
BASE
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16
A system for natural language sentence generation
In: Computers and the humanities. - Dordrecht [u.a.] : Kluwer 26 (1992) 1, 43-58
BLLDB
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