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We present an evaluation of a Web-deployed spoken language CALL system, carried out using crowd-sourcing methods. The system, " Survival Japanese " , is a crash course in tourist Japanese implemented within the platform CALL-SLT. The evaluation was carried out over one week using the Amazon Mechanical Turk. Although we found a high proportion of attempted(More)
Academic studies on the impact of taboo words on cognition, memory, perception, etc. support the intuitive position that taboo words are at least in part used because they are an effective tool in making meaning understood. What hasn't been done, to the best of our knowledge, is to look at the effect of taboo words on speech recognition. To this end we have(More)
We summarise experiments carried out using a system-initiative spoken CALL system, in which permitted responses to prompts are defined using a minimal formalism based on templates and regular expressions, and describe a simple structural learning algorithm that uses annotated data to update response definitions. Using 1 927 utterances of training data, we(More)
We describe Open CALL-SLT, a framework that allows people who may only have modest computer skills to create interactive speech-enabled CALL courses on the web. User content is uploaded to a server and remotely compiled and deployed. Courses can be created at six levels of increasing sophistication, where the specification of the content ranges from simple(More)
We describe a Swedish version of CALL-SLT, a web-deployed CALL system that allows be-ginner/intermediate students to practise gener-ative spoken language skills. Speech recognition is grammar-based, with language models derived, using the Regulus platform, from substantial domain-independent feature grammars. The paper focusses on the Swedish grammar(More)
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