Large aligned treebanks for syntax-based machine translation

Kotzé, Gideon; Vandeghinste, Vincent; Martens, Scott N.; Tiedemann, Jörg

doi:10.1007/s10579-016-9369-0

“…Parallel treebanks [21] are syntactically annotated versions of parallel corpora. While the latter are traditionally used in data-driven MT systems, such as phrase-based SMT or NMT [22], parallel Preprints (www.preprints.org) | NOT PEER-REVIEWED | Posted: 25 April 2019 doi:10.20944/preprints201904.0274.v1…”

Section: Parallel Treebanksmentioning

confidence: 99%

Improving the Translation Environment for Professional Translators

Vandeghinste¹,

Vanallemeersch²,

Augustinus³

et al. 2019

Preprint

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When using computer-aided translation systems in a typical, professional translation workflow, there are several stages at which there is room for improvement. The SCATE (Smart Computer-Aided Translation Environment) project investigated several of these aspects, both from a human-computer interaction point of view, as well as from a purely technological side. This paper describes the SCATE research with respect to improved fuzzy matching, parallel treebanks, the integration of translation memories with machine translation, quality estimation, terminology extraction from comparable texts, the use of speech recognition in the translation process, and human computer interaction and interface design for the professional translation environment. For each of these topics, we describe the experiments we performed and the conclusions drawn, providing an overview of the highlights of the entire SCATE project.

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“…Parallel treebanks [13] are syntactically annotated versions of parallel corpora. While the latter are traditionally used in data-driven MT systems, such as phrase-based SMT or NMT [14], parallel treebanks can be used to improve syntax-based statistical MT ( [15,16]) by taking advantage of linguistic information, allowing higher levels of abstraction than in phrase-based SMT.…”

Section: Building Resources For Syntax-based Translationmentioning

confidence: 99%

“…Tree alignment leads to parallel treebanks. In other words, such treebanks [13] are syntactically annotated versions of parallel corpora.…”

Section: Sub-sentential Alignmentmentioning

confidence: 99%

“…Parallel treebanks can not only be used for creating MT rules but also as a resource for studying translation phenomena. We built an updated version (with improved parses and improved alignment) of the parallel Europarl treebank for Dutch and English [13]. This treebank is tree aligned (see also Section 2.3.1) and can be queried with Poly-GrETEL [28].…”

Section: Searching Parallel Treebanksmentioning

confidence: 99%

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Improving the Translation Environment for Professional Translators

Vandeghinste

¹

,

Vanallemeersch

²

,

Augustinus

³

et al. 2019

Informatics

Self Cite

5

0

View full text Add to dashboard Cite

When using computer-aided translation systems in a typical, professional translation workflow, there are several stages at which there is room for improvement. The SCATE (Smart Computer-Aided Translation Environment) project investigated several of these aspects, both from a human-computer interaction point of view, as well as from a purely technological side. This paper describes the SCATE research with respect to improved fuzzy matching, parallel treebanks, the integration of translation memories with machine translation, quality estimation, terminology extraction from comparable texts, the use of speech recognition in the translation process, and human computer interaction and interface design for the professional translation environment. For each of these topics, we describe the experiments we performed and the conclusions drawn, providing an overview of the highlights of the entire SCATE project.

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“…The Europarl parallel treebank We have made an update of the treebank described in Kotzé et al (2016): we used the data from Europarl version 7 (Koehn, 2005) and extracted the Dutch and English sentence-aligned data from www.statmt.org. The Dutch side was parsed with the Alpino parser and the English side with the Stanford parser (Klein and Manning, 2003) with added dependencies (de Marne e et al, 2006).…”

mentioning

confidence: 99%

GrETEL. A Tool for Example-Based Treebank Mining

Augustinus¹,

Vandeghinste²,

Schuurman³

et al. 2017

CLARIN in the Low Countries

2

0

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This chapter describes the use of GrETEL for linguistic research. GrETEL is a linguistic search tool that enables users to look up constructions in syntactically annotated corpora or treebanks. It provides online access to the data, allowing users to query a treebank using either an example sentence or an XPath expression in order to look for similar constructions. A major asset of GrETEL is that it enables non-technical users to consult treebanks in a user-friendly way, which is also in line with the main CLARIN goal of applying the results of speech and language technology to research in the humanities and the social sciences. Besides a description of the querying procedure in GrETEL, this chapter presents a selection of research in Dutch syntax and semantics that has been carried out using GrETEL. Furthermore, an overview is given of further developments.

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Large aligned treebanks for syntax-based machine translation

Cited by 6 publications

References 22 publications

Improving the Translation Environment for Professional Translators

Improving the Translation Environment for Professional Translators

Improving the Translation Environment for Professional Translators

GrETEL. A Tool for Example-Based Treebank Mining

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