Near Human-Level Performance in Grammatical Error Correction with Hybrid Machine Translation

NAACL 2018 Roman GrundkiewiczMarcin Junczys-Dowmunt

We combine two of the most popular approaches to automated Grammatical Error Correction (GEC): GEC based on Statistical Machine Translation (SMT) and GEC based on Neural Machine Translation (NMT). The hybrid system achieves new state-of-the-art results on the CoNLL-2014 and JFLEG benchmarks... (read more)

PDF Abstract NAACL 2018 PDF NAACL 2018 Abstract
TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK RESULT BENCHMARK
Grammatical Error Correction Restricted SMT + BiGRU F0.5 56.25 # 2
Grammatical Error Correction _Restricted_ SMT + BiGRU GLEU 61.50 # 1

Methods used in the Paper


METHOD TYPE
🤖 No Methods Found Help the community by adding them if they're not listed; e.g. Deep Residual Learning for Image Recognition uses ResNet