The aim of this study was to investigate the role of linguistic and intelligence factors in the Iranian IELTS candidates’ speaking performance. Linguistic factors include depth and breadth of vocabulary knowledge as well as grammar knowledge. Narrative and verbal intelligences represent the non-linguistic factors. The participants included 329 learners who took 5 validated tests and also partic...

the aim of this study was to investigate the role of linguistic and intelligence factors in the iranian ielts candidates’ speaking performance. linguistic factors include depth and breadth of vocabulary knowledge as well as grammar knowledge. narrative and verbal intelligences represent the non-linguistic factors. the participants included 329 learners who took 5 validated tests and also partic...

Models of the reading process generally describe the relations among the components of reading in skilled readers. In these models, the relations between bottom-up word recognition processes (lower order processes) and top-down comprehension processes (higher order processes) are typically described. In bottom-up models of reading, processing starts with the raw input and passes through increas...

This paper presents an extension of neural machine translation (NMT) model to incorporate additional word-level linguistic factors. Adding such linguistic factors may be of great benefits to learning of NMT models, potentially reducing language ambiguity or alleviating data sparseness problem (Koehn and Hoang, 2007). We explore different linguistic annotations at the word level, including: lemm...