Jirí Zahradil

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This paper describes progress in a development of the human-human dialogue corpus for machine translation of spoken language. We have chosen a semantically annotated corpus of phone calls to a train timetable information center. The phone calls consist of inquiries regarding their train traveler plans. Corpus dialogue act tags incorporate abstract semantic(More)
This paper describes progress in a development of the human-human dialogue corpus. The corpus contains transcribed user's phone calls to a train timetable information center. The phone calls consist of inquiries regarding their train traveler's plans. The corpus is based on dialogues's transcription of user's inquiries that were previously collected for a(More)
This paper describes use of negative examples in training the HVS semantic model. We present a novel initialization of the lexical model using negative examples extracted automatically from a semantic corpus as well as description of an algorithm for extraction these examples. We evaluated the use of negative examples on a closed domain human-human train(More)
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