10 citations · 10 across the 2 of their papers we have counts for
3 papers
Grammatical Error Correction with Neural Reinforcement Learning
Keisuke Sakaguchi, Matt Post, Benjamin Van Durme
We propose a neural encoder-decoder model with reinforcement learning (NRL) for grammatical error correction (GEC). Unlike conventional maximum likelihood estimation (MLE), the mod…
Using of heterogeneous corpora for training of an ASR system
Jan Trmal, Gaurav Kumar, Vimal Manohar +3
The paper summarizes the development of the LVCSR system built as a part of the Pashto speech-translation system at the SCALE (Summer Camp for Applied Language Exploration) 2015 wo…
GLEU Without Tuning
Courtney Napoles, Keisuke Sakaguchi, Matt Post +1
The GLEU metric was proposed for evaluating grammatical error corrections using n-gram overlap with a set of reference sentences, as opposed to precision/recall of specific annotat…