This study was inspired by VanPatten and Uludag’s (2011) study on the transferability of training via processing instruction to output tasks and Mori’s (2002) work on the development of talk-in-interaction during a group task. An interview was devised as the pretest, posttest, and delayed posttest to compare four intervention types for teaching the simple past passive: traditional intervention ...

Online algorithms have been successful at a variety of prediction tasks. In structured prediction settings, the model produced by an online learner is fed as input to some combinatorial algorithm for producing structured outputs. This combinatorial algorithm is predominantly considered a black box, which severely limits the control available to the learner. In this paper, we break open this bla...

the necessity of conducting more studies addressing the development of pragmatic profciency and strong pragmatic awareness for english language learners has made the role of instruction and feedback in teaching pragmatic knowledge of utmost importance. the present study evaluates the relative effectiveness of four types of instruction for teaching some pragmatic markers including topic change m...

In this paper, we introduce a novel approach, called Input Output Kernel Regression (IOKR), for learning mappings between structured inputs and structured outputs. The approach belongs to the family of Output Kernel Regression methods devoted to regression in feature space endowed with some output kernel. In order to take into account structure in input data and benefit from kernels in the inpu...

A program development system has been Written based on Jackson's structured programming methodol~ ogy. It accepts input'and otitput data structures and gener~tes pseudo-code. Executable operations other tha:n computations can be generated automatically. The number of input and output data structures can be unlimited since they can be accepted in tum by the system. Backtracking is solved by acce...

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Discriminative structured prediction models have been widely used in many natural language processing tasks, but it is challenging to apply the method to semantic parsing. In this paper, by introducing hybrid tree as a latent structure variable to close the gap between the input sentences and output representations, we formulate semantic parsing as a structured prediction problem, based on the ...