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        <namePart type="given">Ventsislav</namePart>
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            <title>Proceedings of the 9th Conference of the Association for Machine Translation in the Americas: Research Papers</title>
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    <abstract>With the steadily increasing demand for high-quality translation, the localisation industry is constantly searching for technologies that would increase translator throughput, in particular focusing on the use of high-quality Statistical Machine Translation (SMT) supplementing the established Translation Memory (TM) technology. In this paper, we present a novel modular approach that utilises state-of-the-art sub-tree alignment and SMT techniques to turn the fuzzy matches from a TM into near-perfect translations. Rather than relegate SMT to a last-resort status where it is only used should the TM system fail to produce the desired output, for us SMT is an integral part of the translation process that we rely on to obtain high-quality results. We show that the presented system consistently produces better-quality output than the TM and performs on par or better than the standalone SMT system.</abstract>
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%0 Conference Proceedings
%T Maximizing TM Performance through Sub-Tree Alignment and SMT
%A Zhechev, Ventsislav
%A van Genabith, Josef
%S Proceedings of the 9th Conference of the Association for Machine Translation in the Americas: Research Papers
%D 2010
%8 oct 31 nov 4
%I Association for Machine Translation in the Americas
%C Denver, Colorado, USA
%F zhechev-van-genabith-2010-maximizing
%X With the steadily increasing demand for high-quality translation, the localisation industry is constantly searching for technologies that would increase translator throughput, in particular focusing on the use of high-quality Statistical Machine Translation (SMT) supplementing the established Translation Memory (TM) technology. In this paper, we present a novel modular approach that utilises state-of-the-art sub-tree alignment and SMT techniques to turn the fuzzy matches from a TM into near-perfect translations. Rather than relegate SMT to a last-resort status where it is only used should the TM system fail to produce the desired output, for us SMT is an integral part of the translation process that we rely on to obtain high-quality results. We show that the presented system consistently produces better-quality output than the TM and performs on par or better than the standalone SMT system.
%U https://aclanthology.org/2010.amta-papers.19

Markdown (Informal)

[Maximizing TM Performance through Sub-Tree Alignment and SMT](https://aclanthology.org/2010.amta-papers.19) (Zhechev & van Genabith, AMTA 2010)

• Maximizing TM Performance through Sub-Tree Alignment and SMT (Zhechev & van Genabith, AMTA 2010)

ACL

• Ventsislav Zhechev and Josef van Genabith. 2010. Maximizing TM Performance through Sub-Tree Alignment and SMT. In Proceedings of the 9th Conference of the Association for Machine Translation in the Americas: Research Papers, Denver, Colorado, USA. Association for Machine Translation in the Americas.