This study was conducted to investigate the effect of meaning-focused versus form-focused input-oriented and output-oriented task-based instruction on elementary level Iranian EFL Learners’ vocabulary comprehension and recall. For this purpose, a sample of 120 male students from a private school in Tehran was selected through convenience sampling and based on availability. The participants were...

The use of gamification in education is increasing interest. Numerous studies have explored various aspects integrating digital games (DGs) into English language teaching and learning. This research sought to investigate teachers' students' perceptions incorporating DGs improving vocabulary for non-English-majored students at Phenikaa University, Vietnam. cross-sectional study was completed wit...

Microsoft Recite is a mobile application to store and retrieve spoken notes. Recite stores and matches n-grams of pattern class identifiers that are designed to be language neutral and handle a large number of out of vocabulary phrases. The query algorithm expects noise and fragmented matches and compensates for them with a heuristic ranking scheme. This contribution describes a class of indexi...

convictions are strong that multimedia courseware holds great promise for enhancing learning efficiency among learners. this study thus aimed at comparing the effects of the multimedia programs introducing 100 vocabulary items through pictures and streaming video with those of teacher instruction on increasing efl learners’ vocabulary repertoire. a total of 120 subjects were identified as inter...

This paper presents the use of Domain-Specific Modeling (DSM) technologies to tackle the complexity associated to the definition and improvement of software process models. This complexity arises because these tasks involve the description of different activities as well as the relationships with other processes. In this work, we propose the use of viewpoint models to represent, in a modular an...

The search problem in large vocabulary continuous speech recognition (LVCSR) is to locate the most probable string of words for a spoken utterance given the acoustic signal and a set of sentence models. Searching the space of possible utterances is difficult because of the large vocabulary size and the complexity imposed when long-span language models are used. This report describes an efficien...

Neural Machine translation has shown promising results in recent years. In order to control the computational complexity, NMT has to employ a small vocabulary, and massive rare words outside the vocabulary are all replaced with a single unk symbol. Besides the inability to translate rare words, this kind of simple approach leads to much increased ambiguity of the sentences since meaningless unk...

Designing a state-of-the-art large vocabulary speech recognition systems is a highly complex problem. A wide range of techniques are available that affect the performance and number of free parameters. Selecting the appropriate complexity of system is both time-consuming and only a limited number of possible systems can be examined. This paper presents initial results on automatic system select...