Assessment is considered as one of the fundamental elements in the field of foreign language acquisition. In order for communication take place, adequate number of vocabulary is needed to be known by the learners. The salient role of vocabulary in the field of foreign language acquisition resulted in the publication of several hundreds of papers and dozens of books. Due to the dominant role of ...

A computational-phonological method is presented to automatically adapt the phone transcriptions in a lexicon to improve ASR performance in a number of mid-size recognition tasks. The lexical adaptation approach is based on supervised phoneme loops using cd-HMM segments to find alternatives for the transcriptions, and can be considered as a counterpart of the K-means algorithm but on symbolic l...

Certainly one of the primary goals in developing materials for second language learners should be to create materials that reflect vocabulary and grammar that these learners are likely to encounter in the “real world”. There is little to be gained from having students memorize long lists of vocabulary in a textbook, if the learners never again encounter these words once they venture out in the ...

this research study aimed at examining the use of vocabulary learning strategies of iranian male and female intermediate efl learners and the relationship between gender and the use of these strategies at shokouh language institue in iran. 80 efl learners who were at intermediate level participated in this study. this study used kudo’s (1999) classification of vocabulary learning strategies inc...

This review surveys research on second language vocabulary teaching and learning since1999. It first considers the distinction between incidental and intentional vocabulary learning.Although learners certainly acquire word knowledge incidentally while engaged in variouslanguage learning activities, more direct and systematic study of vocabulary is also required.There is a discussion of how word...

Visual recognition (e.g., object, scene and action recognition) is an active area of research in computer vision due to its increasing number of real-world applications such as video (image) indexing and search, intelligent surveillance, human-machine interaction, robot navigation, etc. Effective modeling of the objects, scenes and actions is critical for visual recognition. Recently, bag of vi...

We introduce a discriminative approach to vocabulary independent term frequency estimation. Using two separate corpora and recognition systems, we show that our model can perform significantly better than a previously established generative model at this task.

Core vocabulary is a set of words that are stable used across different text types, theme, and application scenario. In natural language, the number of core vocabulary is relatively small, the core vocabulary, however, plays an important part in language learning because it constitutes a major part of communication content. The traditional core vocabulary selection method is mainly based on the...

Efficient modeling of actions is critical for recognizing human actions. Recently, bag of video words (BoVW) representation, in which features computed around spatiotemporal interest points are quantized into video words based on their appearance similarity, has been widely and successfully explored. The performance of this representation however, is highly sensitive to two main factors: the gr...