Innovatively Fused Deep Learning with Limited Noisy Data for Evaluating Translations from Poor into Rich Morphology

Innovatively Fused Deep Learning with Limited Noisy Data for Evaluating Translations from Poor into Rich Morphology

Evaluation of machine translation (MT) into morphologically rich languages has not been well studied despite its importance. This paper proposes a classifier, that is, a deep learning (DL) schema for MT evaluation, based on different categories of information (linguistic features, natural language p...

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Bibliographic Details
Main Authors: Despoina Mouratidis, Katia Lida Kermanidis, Vilelmini Sosoni
Format: Article
Language:English
Published: MDPI AG 2021-01-01
Series:Applied Sciences
Subjects:
machine learning
deep learning
machine translation
pairwise evaluation
educational data
small datasets
Online Access:https://www.mdpi.com/2076-3417/11/2/639

Internet

https://www.mdpi.com/2076-3417/11/2/639

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