Word Order, Participant Encoding, and the Alleged Ergativity in Teribe

learners’ attitudes toward the effectiveness of mobile-assisted language learning (mall) in vocabulary acquisition in the iranian efl context: the case of word lists, audiobooks and dictionary use

رشد انفجاری تکنولوژی فرصت های آموزشی مهیج و جدیدی را پیش روی فراگیران و آموزش دهندگان گذاشته است. امروزه معلمان برای اینکه در امر آموزش زبان بروز باشند باید روش هایی را اتخاذ نمایند که درآن ها از تکنولوژی جهت کمک در یادگیری زبان دوم و چندم استفاده شده باشد. با در نظر گرفتن تحولاتی که رشته ی آموزش زبان در حال رخ دادن است هم اکنون زمان مناسبی برای ارزشیابی نگرش های موجود نسبت به تکنولوژی های جدید...

Ergativity, A usativity, and the Order of Merge and Agree

Word Order Acquisition in Persian Speaking Children

Objectives: Persian is a pro-drop language with canonical Subject-Object-Verb (SOV) word order. This study investigates the acquisition of word order in Persian-speaking children. Methods: In the present study, participants were 60 Persian-speaking children (30 girls and 30 boys) with typically developing language skills, and aged between 30-47 months. The 30-minute language samples were audio...

The effect of canonical word order on the production and comprehension of pseudoclefts in L2

This study investigated the effect of word order and age on the production and comprehension of pseudoclefts in L2 across two experiments. For each experiment 16 female students aged between 179 and 210 months were recruited from a secondary school. These students were divided into two groups based on their age range; one group for investigating the effect of word order and age on the productio...

Encoding word-order and semantic information using modular neural networks

Vector space models have been successfully used for lexical semantic representation. Some of these models rely on distributional properties of words in large corpora, and have been contrasted with human performance on semantic similarity and priming in lexical decision tasks. Neural network models of lexical representation have been classically of reduced size due to computational limitations. ...