Detecting English Grammatical Errors based on Machine Translation

Detecting Grammatical Errors in Machine Translation Output Using Dependency Parsing and Treebank Querying

Grammatical Error Correction: A Survey of the State of the Art

Grammatical Error Correction (GEC) is the task of automatically detecting and correcting errors in text. The task not only includes the correction of grammatical errors, such as missing prepositions and mismatched subjec…

A Study of Morphological Robustness of Neural Machine Translation

In this work, we analyze the robustness of neural machine translation systems towards grammatical perturbations in the source. In particular, we focus on morphological inflection related perturbations. While this has bee…

Grammatical Error Generation Based on Translated Fragments

We perform neural machine translation of sentence fragments in order to create large amounts of training data for English grammatical error correction. Our method aims at simulating mistakes made by second language learn…

Gated Transformer for Robust De-noised Sequence-to-Sequence Modelling

Robust sequence-to-sequence modelling is an essential task in the real world where the inputs are often noisy. Both user-generated and machine generated inputs contain various kinds of noises in the form of spelling mist…