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In this paper we show, in outline, how CONCEPT can be used as a kernel formalism in building languages for describing agents knowledge and communication, information distribution in multi-agent systems, conflict management etc.
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Psychology experiment building language (PEBL).
The Ovm framework is a set of tools and components for building language runtimes.
We briefly describe the Psychology Experiment Building Language (PEBL), an open source software system for designing and running psychological experiments.
These techniques can also be employed for building language-independent QbE STD systems, since prior knowledge of the language is not necessary.
We used scripts provided with the Kaldi toolkit [19] for training DNN-based ASR systems and the IRSTLM tool [20] for building language models.
It must be noted that this system can be considered language independent, since it does not make use of the target language and can be effectively used for building language-independent STD systems.
Other advantage is that QbE STD can be employed for building language-independent STD systems [7 10], since prior knowledge of the language involved in the speech data is not necessary.
The psychology experiment building language (PEBL) Version 0.13 [37] was used to test the performance of Visual search, Berger's card sorting test, Memory span, Sustained attention and Arithmetic calculation.
Relative Insight (née ai) was spun out of Lancaster University back in 2012 but the underlying research into building language models powering its latest venture dates back around a decade.
On the other hand, QbE STD can be also employed for building language-independent STD systems [7, 8], which is mandatory when no or very limited training data are available to build a reliable speech recognition system, since a priori knowledge of the language involved in the speech data is not necessary.
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