introduction: acquisition of intelligible english pronunciation and comprehension of medical texts has been considered as an important need for medical students.  this can be improved by employing different methods and taking into consideration various learning styles of students. this study is an attempt to reveal the effect of cooperative learning on enhancing pronunciation and reading compre...

Articulation errors will seriously reduce speech intelligibility and the ease of spoken communication. Typically, a speech-language pathologist uses his or her clinical experience to identify articulation error patterns, a time-consuming and expensive process. Moreover, the language training is very difficult to articulation disorders for personal training procedure. In this paper, a system wit...

Lexical stress plays an important role in the prosody of German, and presents a considerable challenge to native speakers of languages such as French who are learning German as a foreign language. These learners stand to benefit greatly from Computer-Assisted Pronunciation Training (CAPT) systems which can offer individualized corrective feedback on such errors, and reliable automatic detection...

We propose a novel technique for adapting text-based statistical machine translation to deal with input from automatic speech recognition in spoken language translation tasks. We simulate likely misrecognition errors using only a source language pronunciation dictionary and language model (i.e., without an acoustic model), and use these to augment the phrase table of a standard MT system. The a...

In this paper we describe the research that was carried out and the resources that were developed within the DISCO (Development and Integration of Speech technology into COurseware for language learning) project. This project aimed at developing an ASR-based CALL system that automatically detects pronunciation and grammar errors in Dutch L2 speaking and generates appropriate, detailed feedback ...

In this research, we proposed a system that can use automatically generated templates for detecting Chinese spelling error. At first, we use frequently used Chinese characters to produce the Chinese confusion set. Based on a dictionary, our system automatically generated negative vocabulary template with the help of Chinese confusion set. Error types include pronunciation-related errors and rad...

This study examines the types of errors produced by Chinese learners of English when attempting to pronounce [T] in reading passages and presents a system for automatically detecting these pronunciation errors. The system achieves an accuracy of 79.8%, compared to the inter-annotator exact agreement rate of 83.1%. In addition, speaker-level scores based on the total number of correct production...

We compared pitch patterns of Japanese intonational phrases spoken by a native speaker of Chinese. Several types of pitch errors were distinguished according to pitch contour shapes within and across intonational phrases. These shapes differ categorically from one another—for instance, the learner uses flat contours while the native uses hump-like contours. Comparisons of the learner and native...