Loss in Translation: Learning Bilingual Word Mapping with a Retrieval Criterion.
Learning Simpler Language Models with the Differential State Framework.
Learning simpler language models with the differential state framework
One billion word benchmark for measuring progress in statistical language modeling.
Using Neural Networks for Modeling and Representing Natural Languages.
Linguistic Regularities in Continuous Space Word Representations.
Combining Heterogeneous Models for Measuring Relational Similarity.
Distributed Representations of Words and Phrases and their Compositionality.
Improving language models for ASR using translated in-domain data.
Subword language modeling with neural networks
A fast re-scoring strategy to capture long-distance dependencies
Variational approximation of long-span language models for lvcsr.
Recurrent Neural Network Based Language Modeling in Meeting Recognition.
Empirical Evaluation and Combination of Advanced Language Modeling Techniques.
Strategies for training large scale neural network language models.
Strategies for training large scale neural network language models
Extensions of recurrent neural network language model
Neural network based language models for highly inflective languages
Neural network based language models for highly inflective languages
BUT language recognition system for NIST 2007 evaluations
Color Reduction Using K-Means Clustering