Vocabulary is the basis of learning a foreign language, and cultivation students' language ability an effective means to improve master vocabulary. In English teaching, how effectively vocabulary level matter concern. The main purpose this paper explore use intelligent algorithms analyze evaluate effect incidental acquisition. From perspective acquisition, further proved that output reading cou...

In this paper we present a semantic web approach to solve some current limitations of podcasting. The main shortcomings of podcasts are two. The first one is that there is no formal description of the contents of a podcast session, apart from a textual description only available in HTML. The second problem is that a podcast session consists of a single audio file. Thus, it is very difficult to ...

A major source of recognition errors, out-of-vocabulary (OOV) words are also semantically important; recognizing them is, therefore, crucial for understanding. Success, so far, has been modest, even on very constrained tasks. In this paper we present a new approach to unlimited vocabulary speech recognition based on using graphemeto-phoneme correspondences for sub-lexical modeling of OOV words,...

This paper presents an open source podcast publishing application which has been implemented to create an educational podcasting service at the University of Bergamo (Italy) and has subsequently been adopted by several universities and other podcasters in Italy and abroad.

One of the main ways to acquire unfamiliar words is to make guesses about words meaning. This study investigates the comparative effects of pictorial annotations and morphological instructions on Iranian EFL learners’ lexical inferencing ability. Considering homogeneity issues using PET (Preliminary English Test), the researchers assigned the participants into two experimental and one control g...

In almost all applications of automatic speech recognition, especially in spontaneous speech tasks, the recognizer vocabulary cannot cover all occurring words. There is always a significant amount of out-of-vocabulary words even when the vocabulary size is very large. In this paper we present a new approach for the integration of out-of-vocabulary words into statistical language models. We use ...

We present a conversational telephone speech data set designed to support research on novel acoustic models. Small vocabulary tasks from 10 words up to 500 words are defined using subsets of the Switchboard-1 corpus; each task has a completely closed vocabulary (an OOV rate of 0%). We justify the need for these tasks, describe the algorithm for selecting them from a large corpus, give a statist...