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Kirchhoff, Katrin - Department of Electrical Engineering, University of Washington at Seattle
Robust Speech Recognition Using Articulatory Information
COMBINING ARTICULATORY AND ACOUSTIC INFORMATION FOR SPEECH RECOGNITION IN NOISY AND REVERBERANT
The University of Washington Machine Translation System for the IWSLT 2007 Competition
CONVERSATIONAL SPEECH RECOGNITION USING ACOUSTIC AND ARTICULATORY Katrin Kirchhoff
Multi-Stream Statistical N-Gram Modeling With Application To Automatic Language Identification
POS Tagging of Dialectal Arabic: A Minimally Supervised Approach Natural language processing technology
Phrase-Based Backoff Models for Machine Translation of Highly Inflected Department of Electrical Engineering
Learning to Rank with Partially-Labeled Data Dept. of Electrical Engineering
Data-Driven Graph Construction for Semi-Supervised Graph-Based Learning in NLP
Ambiguity Reduction for Machine Translation: Human-Computer Collaboration
THURSDAY MORNING, 13 NOVEMBER 2003 TRINITY A ROOM, 8:00 TO 11:50 A.M. Session 4aAAa
CROSS-DIALECTAL ACOUSTIC DATA SHARING FOR ARABIC SPEECH RECOGNITION Katrin Kirchhoff
MULTI-STREAM LANGUAGE IDENTIFICATION USING DATA-DRIVEN DEPENDENCY Sonia Parandekar, Katrin Kirchhoff
STATISTICAL ACOUSTIC INDICATIONS COARTICULATION Katrin Kirchhoff Bilmes
Morphology-Based Language Modeling for Arabic Speech Recognition Dimitra Vergyri1
Factored Neural Language Models Andrei Alexandrescu
Statistical Machine Translation of Parliamentary Proceedings Using Morpho-Syntactic Knowledge
DYNAMIC CLASSIFIER COMBINATION IN HYBRID SPEECH RECOGNITION SYSTEMS USING UTTERANCELEVEL CONFIDENCE VALUES
Contextual Modeling for Meeting Translation Using Unsupervised Word Sense Disambiguation