The CLIN27 Shared Task: Translating Historical Text to Contemporary Language for Improving Automatic Linguistic Annotation

E. Tjong Kim Sang; Marcel Bollman; Remko Boschker; Francisco Casacuberta; Feike Dietz; Stefanie Dipper; Miguel Domingo; Rob van der Goot; Marjo van Koppen; Nikola Ljubesic; Robert Ostling; Florian Petran; Eva Pettersson; Yves Scherrer; Marijn Schraagen; Leen Sevens; Jorg Tiedemann; Tom Vanallemeersch; Kalliopi Zervanou

doi:10.1109/eScience.2017.60

The CLIN27 Shared Task: Translating Historical Text to Contemporary Language for Improving Automatic Linguistic Annotation

E. Tjong Kim Sang, Marcel Bollman, Remko Boschker, Francisco Casacuberta, Feike Dietz, Stefanie Dipper, Miguel Domingo, Rob van der Goot, Marjo van Koppen, Nikola Ljubesic, Robert Ostling, Florian Petran, Eva Pettersson, Yves Scherrer, Marijn Schraagen, Leen Sevens, Jorg Tiedemann, Tom Vanallemeersch, Kalliopi Zervanou

Meertens Instituut

Onderzoeksoutput: Bijdrage aan wetenschappelijk tijdschrift/periodieke uitgave › Artikel › Wetenschappelijk › peer review

Samenvatting

The CLIN27 shared task evaluates the effect of translating historical text to modern text with the goal of improving the quality of the output of contemporary natural language processing tools applied to the text. We focus on improving part-of-speech tagging analysis of seventeenth-century Dutch. Eight teams took part in the shared task. The best results were obtained by teams employing character-based machine translation. The best system obtained an error reduction of 51% in comparison with the baseline of tagging unmodified text. This is close to the error reduction obtained by human translation (57%).

Originele taal-2	Engels
Artikelnummer	88
Pagina's (van-tot)	53-64
Aantal pagina's	12
Tijdschrift	Computational Linguistics in the Netherlands Journal
Volume	7
DOI's	https://doi.org/10.1109/eScience.2017.60
Status	Gepubliceerd - 2017

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10.1109/eScience.2017.60

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1 Paper

Improving Part-of-Speech Tagging of Historical Text by First Translating to Modern Text
Tjong Kim Sang, E., 25 mei 2016. 11 blz.
Onderzoeksoutput: Bijdrage aan conferentie › Paper › Wetenschappelijk › peer review

Open Access

1 Toespraak of presentatie

Talk title: Converting Seventeenth-Century Dutch to Modern Dutch
Erik Tjong Kim Sang (Speaker)
09 jun 2016 → 10 jun 2016
Activiteit: Toespraak of presentatie › Academisch

Citeer dit

Tjong Kim Sang, E., Bollman, M., Boschker, R., Casacuberta, F., Dietz, F., Dipper, S., Domingo, M., van der Goot, R., van Koppen, M., Ljubesic, N., Ostling, R., Petran, F., Pettersson, E., Scherrer, Y., Schraagen, M., Sevens, L., Tiedemann, J., Vanallemeersch, T., & Zervanou, K. (2017). The CLIN27 Shared Task: Translating Historical Text to Contemporary Language for Improving Automatic Linguistic Annotation. Computational Linguistics in the Netherlands Journal, 7, 53-64. [88]. https://doi.org/10.1109/eScience.2017.60

Tjong Kim Sang, E. ; Bollman, Marcel ; Boschker, Remko ; Casacuberta, Francisco ; Dietz, Feike ; Dipper, Stefanie ; Domingo, Miguel ; van der Goot, Rob ; van Koppen, Marjo ; Ljubesic, Nikola ; Ostling, Robert ; Petran, Florian ; Pettersson, Eva ; Scherrer, Yves ; Schraagen, Marijn ; Sevens, Leen ; Tiedemann, Jorg ; Vanallemeersch, Tom ; Zervanou, Kalliopi. / The CLIN27 Shared Task: Translating Historical Text to Contemporary Language for Improving Automatic Linguistic Annotation. In: Computational Linguistics in the Netherlands Journal. 2017 ; Vol. 7. blz. 53-64.

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title = "The CLIN27 Shared Task: Translating Historical Text to Contemporary Language for Improving Automatic Linguistic Annotation",

abstract = "The CLIN27 shared task evaluates the effect of translating historical text to modern text with the goal of improving the quality of the output of contemporary natural language processing tools applied to the text. We focus on improving part-of-speech tagging analysis of seventeenth-century Dutch. Eight teams took part in the shared task. The best results were obtained by teams employing character-based machine translation. The best system obtained an error reduction of 51% in comparison with the baseline of tagging unmodified text. This is close to the error reduction obtained by human translation (57%).",

keywords = "historical text, Dutch, machine translation , part-of-speech tagging",

author = "{Tjong Kim Sang}, E. and Marcel Bollman and Remko Boschker and Francisco Casacuberta and Feike Dietz and Stefanie Dipper and Miguel Domingo and {van der Goot}, Rob and {van Koppen}, Marjo and Nikola Ljubesic and Robert Ostling and Florian Petran and Eva Pettersson and Yves Scherrer and Marijn Schraagen and Leen Sevens and Jorg Tiedemann and Tom Vanallemeersch and Kalliopi Zervanou",

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Tjong Kim Sang, E, Bollman, M, Boschker, R, Casacuberta, F, Dietz, F, Dipper, S, Domingo, M, van der Goot, R, van Koppen, M, Ljubesic, N, Ostling, R, Petran, F, Pettersson, E, Scherrer, Y, Schraagen, M, Sevens, L, Tiedemann, J, Vanallemeersch, T & Zervanou, K 2017, 'The CLIN27 Shared Task: Translating Historical Text to Contemporary Language for Improving Automatic Linguistic Annotation', Computational Linguistics in the Netherlands Journal, vol. 7, 88, blz. 53-64. https://doi.org/10.1109/eScience.2017.60

The CLIN27 Shared Task: Translating Historical Text to Contemporary Language for Improving Automatic Linguistic Annotation. / Tjong Kim Sang, E.; Bollman, Marcel; Boschker, Remko; Casacuberta, Francisco; Dietz, Feike; Dipper, Stefanie; Domingo, Miguel; van der Goot, Rob; van Koppen, Marjo; Ljubesic, Nikola; Ostling, Robert; Petran, Florian; Pettersson, Eva; Scherrer, Yves; Schraagen, Marijn; Sevens, Leen; Tiedemann, Jorg; Vanallemeersch, Tom; Zervanou, Kalliopi.

In: Computational Linguistics in the Netherlands Journal, Vol. 7, 88, 2017, blz. 53-64.

Onderzoeksoutput: Bijdrage aan wetenschappelijk tijdschrift/periodieke uitgave › Artikel › Wetenschappelijk › peer review

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AU - Tjong Kim Sang, E.

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AU - Boschker, Remko

AU - Casacuberta, Francisco

AU - Dietz, Feike

AU - Dipper, Stefanie

AU - Domingo, Miguel

AU - van der Goot, Rob

AU - van Koppen, Marjo

AU - Ljubesic, Nikola

AU - Ostling, Robert

AU - Petran, Florian

AU - Pettersson, Eva

AU - Scherrer, Yves

AU - Schraagen, Marijn

AU - Sevens, Leen

AU - Tiedemann, Jorg

AU - Vanallemeersch, Tom

AU - Zervanou, Kalliopi

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AB - The CLIN27 shared task evaluates the effect of translating historical text to modern text with the goal of improving the quality of the output of contemporary natural language processing tools applied to the text. We focus on improving part-of-speech tagging analysis of seventeenth-century Dutch. Eight teams took part in the shared task. The best results were obtained by teams employing character-based machine translation. The best system obtained an error reduction of 51% in comparison with the baseline of tagging unmodified text. This is close to the error reduction obtained by human translation (57%).

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KW - Dutch

KW - machine translation

KW - part-of-speech tagging

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The CLIN27 Shared Task: Translating Historical Text to Contemporary Language for Improving Automatic Linguistic Annotation

Samenvatting

Toegang tot document

Improving Part-of-Speech Tagging of Historical Text by First Translating to Modern Text

Talk title: Converting Seventeenth-Century Dutch to Modern Dutch

Citeer dit