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Simple Search
Hits 1 – 10 of 10
1
Evaluation and Minimization of Cas9-Independent Off-Target DNA Editing by Cytosine Base Editors
Doman, Jordan L.
;
Raguram, Aditya
;
Newby, Gregory A.
...
In: Nat Biotechnol (2020)
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2
Neural correlates of children's theory of mind development
Liu, David
;
Sabbagh, Mark A.
;
Gehring, William J.
...
In:
Child development. - Malden, Ma. [u.a.] : Blackwell
80 (2009) 2, 318-326
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3
Neural correlates of belief- and desire-reasoning
Liu, David
;
Meltzoff, Andrew
;
Wellman, Henry M.
In:
Child development. - Malden, Ma. [u.a.] : Blackwell
80 (2009) 4, 1163-1171
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4
Theory of mind development in Chinese children: a meta-analysis of false-belief understanding across cultures and languages
Liu, David
;
Wellman, Henry M.
;
Tardif, Twila
...
In:
Developmental psychology. - Richmond, Va. [u.a.] : American Psychological Association
44 (2008) 2, 523-531
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5
Preschoolers' understanding of knowing-that and knowing-how in the United States and Hong Kong
Tardif, Twila
;
Wellman, Henry M.
;
Fong Fung, Kitty Yau
...
In:
Developmental psychology. - Richmond, Va. [u.a.] : American Psychological Association
41 (2005) 3, 562-573
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6
Preschoolers' understanding of knowing-that and knowing-how in the United States and Hong Kong
Tardif, Twila
;
Wellman, Henry M.
;
Fong Fung, Kitty Yau
...
In:
Developmental psychology. - Richmond, Va. [u.a.] : American Psychological Association
41 (2005) 3, 562-573
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7
Steps in theory-of-mind development for children with deafness or autism
Peterson, Candida C.
;
Wellman, Henry M.
;
Liu, David
In:
Child development. - Malden, Ma. [u.a.] : Blackwell
76 (2005) 2, 502-517
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8
Scaling of theory-of-mind tasks
Wellman, Henry M.
;
Liu, David
In:
Child development. - Malden, Ma. [u.a.] : Blackwell
75 (2004) 2, 523-541
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9
Automated Suggestions for Miscollocations
Anne Li-e
;
Liu David
;
Wible Nai-lung Tsao
In: http://www.cs.rochester.edu/u/tetreaul/bea4/Liu-BEA4.pdf
Abstract:
One of the most common and persistent error types in second language writing is collocation errors, such as learn knowledge instead of gain or acquire knowledge, or make damage rather than cause damage. In this work-inprogress report, we propose a probabilistic model for suggesting corrections to lexical collocation errors. The probabilistic model incorporates three features: word association strength (MI), semantic similarity (via Word-Net) and the notion of shared collocations (or intercollocability). The results suggest that the combination of all three features outperforms any single feature or any combination of two features. 1 Collocation in Language Learning The importance and difficulty of collocations for second language users has been widely acknowledged and various sources of the difficulty put forth (Granger 1998, Nesselhauf 2004, Howarth 1998, Liu 2002, inter alia). Liu’s study of a 4-million-word learner corpus reveals that verb-noun (VN) miscollocations make up the bulk of the lexical collocation errors in learners ’ essays. Our study focuses, therefore, on VN miscollocation correction. 2 Error Detection and Correction in NLP Error detection and correction have been two major issues in NLP research in the past decade. Projects involving learner corpora in analyzing and categorizing learner errors include NICT Japanese
URL:
http://www.cs.rochester.edu/u/tetreaul/bea4/Liu-BEA4.pdf
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.210.556
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10
Automated Suggestions for Miscollocations
Anne Li-e
;
Liu David
;
Wible Nai-lung Tsao
In: http://aclweb.org/anthology-new/W/W09/W09-2107.pdf
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