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NIPS
2000
13 years 10 months ago
A Neural Probabilistic Language Model
A goal of statistical language modeling is to learn the joint probability function of sequences of words in a language. This is intrinsically difficult because of the curse of dim...
Yoshua Bengio, Réjean Ducharme, Pascal Vinc...
CCS
2003
ACM
14 years 2 months ago
MECA: an extensible, expressive system and language for statically checking security properties
This paper describes a system and annotation language, MECA, for checking security rules. MECA is expressive and designed for checking real systems. It provides a variety of pract...
Junfeng Yang, Ted Kremenek, Yichen Xie, Dawson R. ...
ACTAC
2006
126views more  ACTAC 2006»
13 years 9 months ago
Named Entity Recognition for Hungarian Using Various Machine Learning Algorithms
In this paper we introduce a statistical Named Entity recognizer (NER) system for the Hungarian language. We examined three methods for identifying and disambiguating proper nouns...
Richárd Farkas, György Szarvas, Andr&a...
ACL
2012
11 years 11 months ago
Akamon: An Open Source Toolkit for Tree/Forest-Based Statistical Machine Translation
We describe Akamon, an open source toolkit for tree and forest-based statistical machine translation (Liu et al., 2006; Mi et al., 2008; Mi and Huang, 2008). Akamon implements all...
Xianchao Wu, Takuya Matsuzaki, Jun-ichi Tsujii
IJCNLP
2005
Springer
14 years 2 months ago
A Case-Based Reasoning Approach for Speech Corpus Generation
Corpus-based stochastic language models have achieved significant success in speech recognition, but construction of a corpus pertaining to a specific application is a difficult ta...
Yandong Fan, Elizabeth A. Kendall