We present an integrated approach to speech and natural language processing which uses a single parser to create training for a statistical speech recognition component and for in...
Production of parallel training corpora for the development of statistical machine translation (SMT) systems for resource-poor languages usually requires extensive manual effort. ...
Models of language learning play a central role in a wide range of applications: from psycholinguistic theories of how people acquire new word knowledge, to information systems th...
Tweets are the most up-to-date and inclusive stream of information and commentary on current events, but they are also fragmented and noisy, motivating the need for systems that c...
We present an approach to personal disaster recovery, e.g. after a hard-disk crash, based not on an explicitly ex-ante defined recovery plan with a rigid backup regime, but rather...