Comparative machine learning experiments have become an important methodology in empirical approaches to natural language processing (i) to investigate which machine learning algor...
The automatic parallelization of C has always been frustrated by pointer arithmetic, irregular control flow and complicated data aggregation. Each of these problems is similar to f...
The PECO framework is a knowledge representation for formulating clinical questions. Queries are decomposed into four aspects, which are Patient-Problem (P), Exposure (E), Compari...
Basic language-inherent tempo cannot be isolated by the current metrics of speech rhythm. Here we propose the number of syllables per intonation unit as an appropriate measure, al...
We present several modifications of the original recurrent neural network language model (RNN LM). While this model has been shown to significantly outperform many competitive l...
Tomas Mikolov, Stefan Kombrink, Lukas Burget, Jan ...