Efficient search for interactive statistical machine translation
EACL '03 Proceedings of the tenth conference on European chapter of the Association for Computational Linguistics - Volume 1
Which user interaction for cross-language information retrieval? Design issues and reflections
Journal of the American Society for Information Science and Technology
Use of free on-line machine translation for interactive cross-language question answering
CLEF'05 Proceedings of the 6th international conference on Cross-Language Evalution Forum: accessing Multilingual Information Repositories
Are users willing to search cross-language? an experiment with the flickr image sharing repository
CLEF'06 Proceedings of the 7th international conference on Cross-Language Evaluation Forum: evaluation of multilingual and multi-modal information retrieval
Proceedings of the 4th Information Interaction in Context Symposium
An exploratory study on search behavior in different languages
Proceedings of the 4th Information Interaction in Context Symposium
International Journal of Digital Library Systems
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Multilingual access is an important area of research, especially given the growth in multilingual users of online resources. A large body of research exists for Cross-Language Information Retrieval (CLIR); however, little of this work has considered the language skills of the end user, a critical factor in providing effective multilingual search functionality. In this paper we describe an experiment carried out to further understand the effects of language skills on multilingual search. Using the Google Translate service, we show that users have varied language skills that are non-trivial to assess and can impact their multilingual searching experience and search effectiveness.