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ACL
2009
13 years 6 months ago
Improving Automatic Speech Recognition for Lectures through Transformation-based Rules Learned from Minimal Data
We demonstrate that transformation-based learning can be used to correct noisy speech recognition transcripts in the lecture domain with an average word error rate reduction of 12...
Cosmin Munteanu, Gerald Penn, Xiaodan Zhu
BMCBI
2010
133views more  BMCBI 2010»
13 years 8 months ago
Improving de novo sequence assembly using machine learning and comparative genomics for overlap correction
Background: With the rapid expansion of DNA sequencing databases, it is now feasible to identify relevant information from prior sequencing projects and completed genomes and appl...
Lance E. Palmer, Mathäus Dejori, Randall A. B...
MT
2007
100views more  MT 2007»
13 years 8 months ago
Semi-supervised model adaptation for statistical machine translation
Statistical machine translation systems are usually trained on large amounts of bilingual text (used to learn a translation model), and also large amounts of monolingual text in th...
Nicola Ueffing, Gholamreza Haffari, Anoop Sarkar
AIMS
2007
Springer
14 years 2 months ago
Improving Anomaly Detection Event Analysis Using the EventRank Algorithm
Abstract. We discuss an approach to reducing the number of events accepted by anomaly detection systems, based on alternative schemes for interest-ranking. The basic assumption is ...
Kyrre M. Begnum, Mark Burgess
DMIN
2009
142views Data Mining» more  DMIN 2009»
13 years 6 months ago
A Combinatorial Fusion Method for Feature Construction
- This paper demonstrates how methods borrowed from information fusion can improve the performance of a classifier by constructing (i.e., fusing) new features that are combinations...
Ye Tian, Gary M. Weiss, D. Frank Hsu, Qiang Ma