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1
南臺灣英語教師對文法教學的認知 ; Teachers' Perceptions of Grammar Teaching in EFL Classrooms in Southern Taiwan
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2
The effects of deductive, inductive and a combination of both types of grammar instruction in pre-sessional classes in higher education
Giorgou Tzampazi, Stella. - : University of Bedfordshire, 2019
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3
The Effects of Guided-discovery, Self-discovery, and Situational-presentation Techniques on Learning Conditional Sentences in English
In: Applied Linguistics Research Journal, Vol 3, Iss 3, Pp 51-63 (2019) (2019)
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4
LINGÜÍSTICA DE CORPUS Y GRAMÁTICA INDUCTIVA: UNA APROXIMACIÓN
In: Tonos Digital; NÚMERO 35 - JULIO 2018 (2018)
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5
Grammar Teaching Revisited: EFL Teachers between Grammar Abstinence and Formal Grammar Teaching
In: Australian Journal of Teacher Education (2012)
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6
Using the Dictogloss in the high school foreign language classroom : noticing and learning new grammar
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7
歸納式及演繹式文法教學於不同英文能力國中生之成效比較 ; Effects of Inductive and Deductive Approaches in Grammar Instructionfor Junior High School Students of Differing English Proficiency
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8
Inductive vs. Deductive Grammar Instruction and the Grammatical Performance of EFL Learners
In: Journal of Applied Linguistics, Vol 1, Iss Inaugural Issue, Pp 1-13 (2008) (2008)
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9
Learning to Parse from a Treebank: Combining TBL and ILP
In: http://www.fi.muni.cz/~nepil/nepil_grind.ps (2001)
Abstract: Parsing a natural language with its substantial structural complexity and ambiguity has turned out to be a puzzler. While the most of attempts in this area so far has relied on hand-generated parsers, difficulties inherent in the manual construction of natural language grammar lead up to efforts to induce the grammar automatically. Our approach to the automatic grammar induction presented in this paper has resulted in design and implementation of the system GRIND (Grammar Induction), which is capable to learn a sequence of context- -dependent parse actions from a given corpus of labelled derivation trees. To this end, GRIND combines two established methods of machine learning: transformation-based learning (TBL) and inductive logic programming (ILP). Being trained and tested on corpus SUSANNE, GRIND reached the accuracy of 96 % and the recall of 68 %. Keywords: grammar induction, inductive logic programming, transformation- -based learning 1
Keyword: grammar induction; inductive logic programming; transformation--based learning
URL: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.22.4317
http://www.fi.muni.cz/~nepil/nepil_grind.ps
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10
Structures and categories for the representation of meaning
Potts, Timothy C.. - Cambridge : Univ. Press, 1994
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UB Frankfurt Linguistik
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11
Foundations of logic and linguistics : problems and their solutions
Bressan, Aldo (Mitarb.); Dorn, Georg (Hrsg.); Meyer, Robert K. (Mitarb.). - New York : Plenum Press, 1985
BLLDB
UB Frankfurt Linguistik
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