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NAACL
1994
10 years 26 days ago
Combining Knowledge Sources to Reorder N-Best Speech Hypothesis Lists
A simple and general method is described that can combine different knowledge sources to reorder N-best lists of hypotheses produced by a speech recognizer. The method is automati...
Manny Raynez, David Carter, Vassilios Digalakis, P...
NAACL
1994
10 years 26 days ago
Multilingual Text Resources at the Linguistic Data Consortium
The Linguistic Data Consortium (LDC) is currently involved in a major effort to expand its multilingual text resources, in particular for machine translation, message understandin...
David Graft, Rebecca Finc
NAACL
1994
10 years 26 days ago
Session 10: Government Panel
The Workshop included an extended group of presentations by selected US government agencies and an invited guest from the European Community. These presentations, amplified in the...
Oscar N. Garcia
NAACL
1994
10 years 26 days ago
High-Accuracy Large-Vocabulary Speech Recognition Using Mixture Tying and Consistency Modeling
Improved acoustic modeling can significantly decrease the error rate in large-vocabulary speech recognition. Our approach to the problem is twofold. We first propose a scheme that...
Vassilios Digalakis, Hy Murveit
NAACL
1994
10 years 26 days ago
Expanding the Scope of the ATIS Task: The ATIS-3 Corpus
The Air Travel Information System (ATIS) domain serves as the common evaluation task for ARPA"spoken language system developers.1To support this task, the Multi-Site ATIS Dat...
Deborah A. Dahl, Madeleine Bates, Michael Brown, W...
NAACL
1994
10 years 26 days ago
Corpus Development Activities at the Center for Spoken Language Understanding
This paper describes eight telephone-speech corpora at various stages of development at the Center for Spoken Language Understanding. For each corpus, we describe data collection ...
Ronald Cole, Mike Noel, Daniel C. Burnett, Mark A....
NAACL
1994
10 years 26 days ago
A Report of Recent Progress in Transformation-Based Error-Driven Learning
Most recent research in trainable part of speech taggers has explored stochastic tagging. While these taggers obtain high accuracy, linguistic information is captured indirectly, ...
Eric Brill
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