Carlo Aliprandi

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The Web is a huge virtual space where to express and share individual opinions, influencing any aspect of life, with implications for marketing and communication alike. Social Media are influencing consumers' preferences by shaping their attitudes and behaviors. Monitoring the Social Media activities is a good way to measure customers' loyalty, keeping a(More)
This paper describes the data collection, annotation and sharing activities carried out within the FP7 EU-funded SAVAS project. The project aims to collect, share and reuse audiovisual language resources from broadcasters and subtitling companies to develop large vocabulary continuous speech recognisers in specific domains and new languages, with the(More)
We present FastType, a word prediction system for the Ital-ian inflected language, and its user-centric interface. Fast-Type has greatly evolved from its original features. We have added new linguistic resources, implemented more efficient prediction algorithms and made a brand-new user interface. Thanks to the prediction engine upgrades, like the(More)
We present FastType, an innovative system for word and letter prediction for an inflected language, namely the Italian language. The system is based on combined statistical and lexical methods and it uses robust language resources. Word prediction is particularly useful to minimise keystrokes for users with special needs, and to reduce misspellings for(More)
SOMMARIO/ ABSTRACT Questo articolo descrive la struttura del UniPiSynthema Part-of-Speech (POS) Tagger utilizzato per il task di POS Tagging all'interno di EVALITA 2007. This paper outlines the structure of the UniPiSynthema Part-of-Speech (POS) Tagger that we used for the POS Tagging task within the EVALITA 2007 initiative.