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...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Sciendo
2017-06-01
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| Series: | Prague Bulletin of Mathematical Linguistics |
| Online Access: | https://doi.org/10.1515/pralin-2017-0015 |