We describe a method for finding ungapped conserved words in rRNA sequences that is effective, utilizes evolutionary information and does not depend on multiple sequence alignment...
Liaofu Luo, Li-Ching Hsieh, Fengmin Ji, Mengwen Ji...
We present Minimum Bayes-Risk (MBR) decoding for statistical machine translation. This statistical approach aims to minimize expected loss of translation errors under loss functio...
In this paper we address the problem of translating between languages with word order disparity. The idea of augmenting statistical machine translation (SMT) by using a syntax-bas...
Background: Biomedical ontologies are critical for integration of data from diverse sources and for use by knowledge-based biomedical applications, especially natural language pro...
We describe how simple, commonly understood statistical models, such as statistical dependency parsers, probabilistic context-free grammars, and word-to-word translation models, c...