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NIPS
2000
15 years 1 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
15 years 5 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»
14 years 12 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
13 years 2 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
15 years 5 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