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Vicent Alabau, Daniel Ortiz-Martínez, Verónica Romero, Jorge Ocampo. A multimodal predictive-interactive application for computer assisted transcription and translation. ICMI-MLMI '09: Proceedings of the 2009 international conference on Multimodal interfaces, 2009. pp. 227-228. ACM.

Traditionally, Natural Language Processing (NLP) technologies have mainly focused on full automation. However, full automation often proves unnatural in many applications, where technology is expected to assist rather than replace the human agents. In this paper, we present an application that implements such MI technologies. First, we have designed an Application Programming Interface (API), featuring a client-server framework, to deal with most common NLP MI tasks. Second, we have developed a generic client application. The resulting client-server architecture has been successfully tested with two different NLP problems: transcription of text images and translation of texts.