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EMNLP
2007
13 years 8 months ago
Large Language Models in Machine Translation
This paper reports on the benefits of largescale statistical language modeling in machine translation. A distributed infrastructure is proposed which we use to train on up to 2 t...
Thorsten Brants, Ashok C. Popat, Peng Xu, Franz Jo...
ESOP
2011
Springer
12 years 10 months ago
Measure Transformer Semantics for Bayesian Machine Learning
Abstract. The Bayesian approach to machine learning amounts to inferring posterior distributions of random variables from a probabilistic model of how the variables are related (th...
Johannes Borgström, Andrew D. Gordon, Michael...
JMLR
2006
108views more  JMLR 2006»
13 years 7 months ago
The Interplay of Optimization and Machine Learning Research
The fields of machine learning and mathematical programming are increasingly intertwined. Optimization problems lie at the heart of most machine learning approaches. The Special T...
Kristin P. Bennett, Emilio Parrado-Hernánde...
ICML
1995
IEEE
13 years 10 months ago
Learning with Rare Cases and Small Disjuncts
Systems that learn from examples often create a disjunctive concept definition. Small disjuncts are those disjuncts which cover only a few training examples. The problem with sma...
Gary M. Weiss
IJIT
2004
13 years 8 months ago
A Hybrid Model for Part-of-Speech Tagging and its Application to Bengali
This paper describes our work on Bengali Part of Speech (POS) tagging using a corpus-based approach. There are several approaches for part of speech tagging. This paper deals with ...
Sandipan Dandapat, Sudeshna Sarkar, Anupam Basu