A Neural Network Architecture for Detecting Grammatical Errors in Statistical Machine Translation

A Neural Network Architecture for Detecting Grammatical Errors in Statistical Machine Translation

In this paper we present a Neural Network (NN) architecture for detecting grammatical errors in Statistical Machine Translation (SMT) using monolingual morpho-syntactic word representations in combination with surface and syntactic context windows. We test our approach on two language pairs and two...

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Bibliographic Details
Main Authors: Tezcan Arda, Hoste Véronique, Macken Lieve
Format: Article
Language:English
Published: Sciendo 2017-06-01
Series:Prague Bulletin of Mathematical Linguistics
Online Access:https://doi.org/10.1515/pralin-2017-0015

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