77 search results - page 13 / 16 » Non-linear Learning for Statistical Machine Translation |
IJCNLP
2005
Springer
15 years 4 months ago
2005
Springer
In this paper, we present an empirical study that utilizes morph-syntactical information to improve translation quality. With three kinds of language pairs matched according to mor...
108
click to vote
CIKM
2005
Springer
15 years 4 months ago
2005
Springer
This paper describes a framework for defining domain specific Feature Functions in a user friendly form to be used in a Maximum Entropy Markov Model (MEMM) for the Named Entity Re...
NIPS
2000
15 years 16 days ago
2000
Recent work has exploited boundedness of data in the unsupervised learning of new types of generative model. For nonnegative data it was recently shown that the maximum-entropy ge...
ACL
2003
15 years 18 days ago
2003
This paper presents an unsupervised learning approach to building a non-English (Arabic) stemmer. The stemming model is based on statistical machine translation and it uses an Eng...
EMNLP
2007
15 years 19 days ago
2007
We describe a discriminatively trained sequence alignment model based on the averaged perceptron. In common with other approaches to sequence modeling using perceptrons, and in co...