Framed in a cognitive approach to task-supported L2 vocabulary learning, the present study used a pedagogical approach to investigate the relative effectiveness of tasks with different involvement loads on the vocabulary knowledge of Iranian EFL learners. The goal was to investigate the way that the construct of involvement load is related to the Input Hypothesis (Krashen, 1985) and the Output ...

Behavioral experiments and a connectionist model were used to explore the use of featural representations in the computation of word meaning. The research focused on the role of correlations among features, and differences between speeded and untimed tasks with respect to the use of featural information. The results indicate that featural representations are used in the initial computation of w...

Behavioral experiments and a connectionist model were used to explore the use of featural representations in the computation of word meaning. The research focused on the role of correlations among features, and differences between speeded and untimed tasks with respect to the use of featural information. The results indicate that featural representations are used in the initial computation of w...

Vector representations of words capture relationships in words’ functions and meanings. Many existing techniques for inducing such representations from data use a pipeline of hand-coded processing techniques. Neural language models offer principled techniques to learn word vectors using a probabilistic modeling approach. However, learning word vectors via language modeling produces representati...

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 ...