A comparative study of online translation services for cross language Information retrieval
Hosseinzadeh Vahid, Ali, Arora, PiyushORCID: 0000-0002-4261-2860, Liu, QunORCID: 0000-0002-7000-1792 and Jones, Gareth J.F.ORCID: 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
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