Tree Kernels for Machine Translation Quality Estimation

Christian Hardmeier; Joakim Nivre; Jörg Tiedemann

Tree Kernels for Machine Translation Quality Estimation

Christian Hardmeier, Joakim Nivre, Jörg Tiedemann

Publikation: Konference artikel i Proceeding eller bog/rapport kapitel › Konferencebidrag i proceedings › Forskning › peer review

Abstract

This paper describes Uppsala University’s submissions to the Quality Estimation (QE) shared task at WMT 2012. We present a QE system based on Support Vector Machine regression, using a number of explicitly defined features extracted from the Machine Translation input, output and models in combination with tree kernels over constituency and dependency parse trees for the input and output sentences. We confirm earlier results suggesting that tree kernels can be a useful tool for QE system construction especially in the early stages of system design.

Originalsprog	Engelsk
Titel	Proceedings of the Seventh Workshop on Statistical Machine Translation
Publikationsdato	8 jun. 2012
Sider	109–113
ISBN (Trykt)	978-1-937284-20-6
Status	Udgivet - 8 jun. 2012
Udgivet eksternt	Ja

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https://aclanthology.org/W12-3112.pdf

Citationsformater

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title = "Tree Kernels for Machine Translation Quality Estimation",

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AB - This paper describes Uppsala University’s submissions to the Quality Estimation (QE) shared task at WMT 2012. We present a QE system based on Support Vector Machine regression, using a number of explicitly defined features extracted from the Machine Translation input, output and models in combination with tree kernels over constituency and dependency parse trees for the input and output sentences. We confirm earlier results suggesting that tree kernels can be a useful tool for QE system construction especially in the early stages of system design.

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Tree Kernels for Machine Translation Quality Estimation

Abstract

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Citationsformater