Abstract Random sampling is often used to choose training data for language processing tasks such as text retrieval, email filtering, parsing, tagging, etc. We propose an alternative approach of labeling data, training the system, and[…]
Research Groups Acoustic Processing/Modeling Group: Exploring the Time Dimension at Different Scales Discourse LM Pronunciation Modelling Syllable Based Speech Processing
Abstract I will examine phonological cues to grammatical class in English, and implicit knowledge of such cues. In particular, I will describe experiments showing that both native and nonnative English speakers can learn such patterns,[…]
Abstract Research effort in speech recognition is moving towards transcription of more realistic data sources. At IBM we have been examining acoustic modeling issues in the context of broadcast news transcription. This data exhibit many[…]
Abstract A highly reverberant acoustic environment can have negative effects on the audio quality of a hands-free communication device like teleconferencing system, automatic speech recognizer (ASR), etc. In this talk, first the nature of reverberation[…]
Abstract This talk presents a constraint-based approach to morphological disambiguation and tagging in which individual constraints vote on matching morphological parses, or sequences of parses, and disambiguation of all the tokens in a sentence is[…]
Abstract Following the Prague tradition, dependency-based description of the formal representation of language structures has become the basis for building an annotated Czech corpus (size approx. 1 mil. words). The resulting corpus will also become[…]
