Purpose: In recent years, digital projects have created tools for learning languages, such as mobile applications (apps). In contexts where the language has low prestige, innovative digital learning tools can support language revitalisation. This article takes the Australian Kaytetye Indigemoji app as a case study in community resource…

Automated writing evaluation (AWE) has been frequently used to provide feedback on student writing. Many empirical studies have examined the effectiveness of AWE on writing quality, but the results were inconclusive. Thus, the magnitude of AWE's overall effect and factors influencing its effectiveness across studies remained unclear. This study…

In 2016, a number of language applications released chatbots to complement their programmes. Used primarily in informal learning settings, chatbots enable language learners to engage in conversational speaking practice, which can be perceived as less threatening than face-to-face interactions with native speakers. This study takes a closer look at…

This research analyzes the acoustic characteristics and conducts a perception test of Thai tones produced by Chinese learners learning Thai through the "Thai Tone Application". A comparison of Thai tones pronounced by 40 Chinese learners learning Thai at Nakhon Ratchasima Rajabhat University with 40 Thai native speakers was also…

This study investigated the effects of High Variability Phonetic Training (HVPT) on beginner level English as a Foreign Language (EFL) Japanese learners' perceptions and productions of the English fricatives /f/, /v/ and /?/. With the use of the computer program 'English Accent Coach' (EAC, Thomson, 2017), two groups of participants were engaged…

This article discusses principles involved in developing course materials for technology-mediated Chinese language learning, with examples from a new course designed to take into account the needs of distance and independent learners. Which learning environment is most efficient for a given learning activity needs to be carefully considered. It…

This article describes the design and application of a computer-based system for simultaneously teaching Korean, English and Japanese languages in a classroom setting using knowledge visualization techniques to show the relationships between vocabularies, grammars and meanings. The system consists of a knowledge database of Korean, English, and…

This paper introduces a Dialog-Based Computer Assisted second-Language Learning (DB-CALL) system using task-oriented dialogue processing technology. The system promotes dialogue with a second-language learner for a specific task, such as purchasing tour tickets, ordering food, passing through immigration, etc. The dialog system plays a role of a…

Our proposed work is aimed at teaching non-native Arabic speakers how to improve their pronunciation. This paper reports on a diagnostic tool for helping non-native speakers of Arabic improve their pronunciation, particularly of words involving sounds that are not distinguished in their native languages. The tool involves the implementation of…

The ultimate aim of our research project was to use the Google Web Speech API to automate scoring of elicited imitation (EI) tests. However, in order to achieve this goal, we had to take a number of preparatory steps. We needed to assess how accurate this speech recognition tool is in recognizing native speakers' production of the test items; we…

While a growing body of research has established the benefits of pronunciation training on second language (L2) production, these benefits have yet to be incorporated into the general skills language classroom in a systematic manner. Furthermore, although relatively new speech analysis software has been shown to be useful in providing visual…

This article investigates whether authentic native speaker (NS) to NS speech can be made available to the learner listener through the use of a novel slow-down tool. Results from various preliminary tests seem to indicate that the use of a slow-down algorithm in many cases, and in particular in samples with a higher speed rate and word count,…

In this paper, we describe and evaluate two state-of-the-art systems for identifying and correcting writing errors involving English articles and prepositions. Criterion[superscript SM], developed by Educational Testing Service, and "ESL Assistant", developed by Microsoft Research, both use machine learning techniques to build models of article…

In this paper we present a system for automatic correction of errors made by learners of English. The system has two novel aspects. First, machine-learned classifiers trained on large amounts of native data and a very large language model are combined to optimize the precision of suggested corrections. Second, the user can access real-life web…

Describes a controlled experiment conducted to determine the differences between native and nonnative speakers' strategies for transcribing dialogs, from the simple to the complex. Results confirmed that there were significant differences among three categories of the users' interactions with a computerized transcription system. (seven references)…