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ICCPOL
2009
Springer
13 years 7 months ago
A Simple and Efficient Model Pruning Method for Conditional Random Fields
Conditional random fields (CRFs) have been quite successful in various machine learning tasks. However, as larger and larger data become acceptable for the current computational ma...
Hai Zhao, Chunyu Kit
COLING
2010
13 years 4 months ago
Improving Name Origin Recognition with Context Features and Unlabelled Data
We demonstrate the use of context features, namely, names of places, and unlabelled data for the detection of personal name language of origin. While some early work used either r...
Vladimir Pervouchine, Min Zhang, Ming Liu, Haizhou...
IS
2011
13 years 4 months ago
Time prediction based on process mining
Abstract. Process mining allows for the automated discovery of process models from event logs. These models provide insights and enable various types of model-based analysis. This ...
Wil M. P. van der Aalst, M. H. Schonenberg, Minseo...
EJASMP
2010
196views more  EJASMP 2010»
13 years 4 months ago
Optimizing Automatic Speech Recognition for Low-Proficient Non-Native Speakers
Computer Assisted Language Learning (CALL) applications for improving the oral skills of low-proficient learners have to cope with nonnative speech that is particularly challengin...
Joost van Doremalen, Catia Cucchiarini, Helmer Str...
INTERSPEECH
2010
13 years 4 months ago
Modeling liaison in French by using decision trees
French is known to be a language with major pronunciation irregularities at word endings with consonants. Particularly, the well-known phonetic phenomenon called Liaison is one of...
Josafá de Jesus Aguiar Pontes, Sadaoki Furu...