Abstract
The Center for Innovation of Translation and Translation Technology (CRITT) environment at Copenhagen Business School (CBS) draws on primarily two types of NLP resources, namely treebanks and the logging of user activity data (UAD) during text production and translation activities, in order to do research into the cognitive processes that lie behind translation activity. In this paper we make a short presentation of the Copenhagen Dependency Treebank (CDT), and elaborate how UAD is obtained and represented in Translog-II. Finally, the paper discusses some general perspectives on how process-oriented translation research methodology could benefit from the integration of UAD with structural linguistic information in the form of linguistically annotated text data.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Angelone E (2010) Uncertainty, uncertainty management and metacognitive problem solving in the translation task. Translation and Cognition pp 17–40
Buch-Kromann M, Korzen I, Müller HH (2009) Uncovering the lost structure of translations with parallel treebanks. Copenhagen Studies in Language 38: 199–224
Carl M, Dragsted B (2011) Inside the monitor model: Processes of default and challenged translation production. In: Contrastive Linguistics, Translation Studies, Machine Translation – What can we Learn from Each Other? workshop held in conjunction with the Conference of the German Society for Computational Linguistics and Language Technology (GSCL 2011), Hamburg, Germany
Carl M, Dragsted B, Lykke Jakobsen A (2011) On the systematicity of human translation processes. In: Proceedings of Translation Careers and Technologies: Convergence Points for the Future (Tralogy 2011), Paris, France
Dragsted B (2010) Coordination of reading and writing processes in translation. Translation and Cognition, American Translators Association Scholarly Monograph Series, Benjamins, Amsterdam/Philadelphia
Hyrskykari A (2006) Utilizing eye movements: Overcoming inaccuracy while tracking the focus of attention during reading. Special issue: Attention aware systems
Jakobsen A (1999) Logging target text production with translog. In: Hansen G (ed) Probing the process in translation: methods and results, Copenhagen Studies in Language, vol 24, Samfundslitteratur, Copenhagen, pp 9–20
Korzen I, Müller HH (2011) The copenhagen dependency treebank. Forskellige niveauer samme relationer
Müller HH, Durst-Andersen P (eds) (2012) Ny forskning i Grammatik. Odense Universitetsforlag, Odense
Pavlovic N, Jensen KTH (2009) Eye tracking translation directionality. In: Pym A, Perekrestenko A (eds) Translation Research Projects 2, Intercultural Studies Group, Tarragona, pp 93–109. http://isg.urv.es/publicity/isg/publications/trp_2_2009/index.htm
Schou L, Dragsted B, Carl M (2009) Ten years of translog. Copenhagen Studies in Language 37:37–51
Trautner-Kromann M (2003) The Danish dependency treebank and the DTAG treebank tool. In: 2nd Workshop on Treebanks and Linguistic Theories, Växjo, Sweden, pp 217–220
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 Springer-Verlag Berlin Heidelberg
About this chapter
Cite this chapter
Carl, M., Müller, H.H. (2012). Integrating Treebank Annotation and User Activity in Translation Research. In: Chiarcos, C., Nordhoff, S., Hellmann, S. (eds) Linked Data in Linguistics. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28249-2_8
Download citation
DOI: https://doi.org/10.1007/978-3-642-28249-2_8
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-28248-5
Online ISBN: 978-3-642-28249-2
eBook Packages: Computer ScienceComputer Science (R0)