Claudia Baur

We present a framework, CALL-SLT Lite, which can be used by people with only very basic software skills to create interactive multimodal speech-enabled CALL games suitable for beginner/low intermediate child language learners. The games are deployed over the web and can be accessed through a normal browser, and the framework is completely language-independent. As the name suggests, the framework grew out of an earlier platform, CALL-SLT, which enables construction of similar games but uses a more sophisticated architecture. We review the history of the project, describing the type of game we are aiming to build and our reasons for believing that they are useful, and then present CALL-SLT Lite and an initial evaluation comparing the performance of the two versions of the framework. The results suggest that the Lite framework, although much simpler, offers performance at least as good as that of the original system.

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Formative Feedback in an Interactive Spoken CALL System

Nikolaos Tsourakis Emmanuel Rayner Claudia Baur

By definition spoken dialogue CALL systems should be easy to use and understand. However, interaction in this context is often far from unhindered. In this paper we introduce a formative feedback mechanism in our CALL system, which can monitor interaction, report errors and provide advice and suggestions to users. The distinctive feature of this mechanism is the ability to combine information from different sources and decide on the most pertinent feedback, which can also be adapted in terms of phrasing, style and language. We conducted experiments at three secondary schools in German-speaking Switzerland and the obtained results suggest that our feedback mechanism helps students during interaction and contributes as a motivating factor.

Spoken Language

Feature (linguistics)

Corrective Feedback

Factor (programming language)

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Overview of the 2019 Spoken CALL Shared Task

Claudia Baur Andrew Caines Cathy Chua Johanna Gerlach Mengjie Qian

10.21437/slate.2019-1

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