Abstract
In this chapter we describe QE work for language output applications other than MT, namely Text Simplification (TS), Automatic Text Summarization (ATS), Grammatical Error Correction (GEC), Natural Language Generation (NLG), and Automatic Speech Recognition (ASR). Most of this work is very recent, with many opportunities for further development. Various approaches have been proposed for TS in the context of a shared task in 2016, while very little work could be found for the other areas. We hope that by providing this overview we will encourage researchers in these and other NLP applications to consider pursuing QE as an evaluation framework.
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© 2018 Springer Nature Switzerland AG
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Specia, L., Scarton, C., Paetzold, G.H. (2018). Quality Estimation for other Applications. In: Quality Estimation for Machine Translation. Synthesis Lectures on Human Language Technologies. Springer, Cham. https://doi.org/10.1007/978-3-031-02168-8_5
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DOI: https://doi.org/10.1007/978-3-031-02168-8_5
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-01040-8
Online ISBN: 978-3-031-02168-8
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