Dynamic binary translators (DBTs) are becoming increasingly important because of their power and flexibility. However, the high memory demands of DBTs present an obstacle for all ...
Recent studies suggest that machine learning can be applied to develop good automatic evaluation metrics for machine translated sentences. This paper further analyzes aspects of l...
Background: High-throughput mass spectrometry (MS) proteomics data is increasingly being used to complement traditional structural genome annotation methods. To keep pace with the...
William S. Sanders, Nan Wang, Susan M. Bridges, Br...
We propose a succinct randomized language model which employs a perfect hash function to encode fingerprints of n-grams and their associated probabilities, backoff weights, or oth...
For many years, statistical machine translation relied on generative models to provide bilingual word alignments. In 2005, several independent efforts showed that discriminative m...