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A comparative study of online translation services for cross language Information retrieval

Hosseinzadeh Vahid, Ali, Arora, Piyush orcid logoORCID: 0000-0002-4261-2860, Liu, Qun orcid logoORCID: 0000-0002-7000-1792 and Jones, Gareth J.F. orcid logoORCID: 0000-0003-2923-8365 (2015) A comparative study of online translation services for cross language Information retrieval. In: 24th International Conference on World Wide Web Companion, 18–22 May 2015, Florence, Italy. ISBN 978-1-4503-3473-0

Abstract
Technical advances and its increasing availability, mean that Machine Translation (MT) is now widely used for the translation of search queries in multilingual search tasks. A number of free-to-use high-quality online MT systems are now available and, although imperfect in their translation behaviour, are found to produce good performance in CrossLanguage Information Retrieval (CLIR) applications. Users of these MT systems in CLIR tasks generally assume that they all behave similarly in CLIR applications, and the choice of MT system is often made on the basis of convenience. We present a set of experiments which compare the impact of applying two of the best known online systems, Google and Bing translation, for query translation across multiple language pairs and for two very different CLIR tasks. Our experiments show that the MT systems perform differently on average for different tasks and language pairs, but more significantly for different individual queries. We examine the differing translation behaviour of these tools and seek to draw conclusions in terms of their suitability for use in different settings.
Metadata
Item Type:Conference or Workshop Item (Paper)
Event Type:Workshop
Refereed:Yes
Uncontrolled Keywords:Cross language information retrieval; machine translation; variable retrieval effectiveness
Subjects:Computer Science > Computational linguistics
Computer Science > Information retrieval
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing
Research Initiatives and Centres > ADAPT
Research Initiatives and Centres > Centre for Next Generation Localisation (CNGL)
Published in: Proceedings of the 24th International Conference on World Wide Web Companion. . IW3C2. ISBN 978-1-4503-3473-0
Publisher:IW3C2
Official URL:http://dx.doi.org/10.1145/2740908.2743008
Copyright Information:© 2015 International World Wide Web Conference Committee (IW3C2)
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
Funders:Science Foundation Ireland (SFI) as a part of the CNGL Centre for Global Intelligent Content at DCU (Grant No: 12/CE/I2267)
ID Code:22796
Deposited On:23 Nov 2018 15:45 by Piyush Arora . Last Modified 31 Jan 2019 12:19
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