Using part-of-speech patterns to reduce query ambiguity
SIGIR '02 Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval
Applications of Finite-State Transducers in Natural Language Processing
CIAA '00 Revised Papers from the 5th International Conference on Implementation and Application of Automata
Tagging French: comparing a statistical and a constraint-based method
EACL '95 Proceedings of the seventh conference on European chapter of the Association for Computational Linguistics
Generating query substitutions
Proceedings of the 15th international conference on World Wide Web
Unsupervised query segmentation using generative language models and wikipedia
Proceedings of the 17th international conference on World Wide Web
A unified and discriminative model for query refinement
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
Linguistic Analysis of Users' Queries: Towards an Adaptive Information Retrieval System
SITIS '07 Proceedings of the 2007 Third International IEEE Conference on Signal-Image Technologies and Internet-Based System
The linguistic structure of English web-search queries
EMNLP '08 Proceedings of the Conference on Empirical Methods in Natural Language Processing
Structural annotation of search queries using pseudo-relevance feedback
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
Searching cultural heritage data: does structure help expert searchers?
RIAO '10 Adaptivity, Personalization and Fusion of Heterogeneous Information
EACL '12 Proceedings of the 13th Conference of the European Chapter of the Association for Computational Linguistics
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Query processing is an essential part of a range of applications in the social sciences and cultural heritage domain. However, out-of-the-box natural language processing tools originally developed for full phrase analysis are inappropriate for query analysis. In this paper, we propose an approach to solving this problem by adapting a complete and integrated chain of NLP tools, to make it suitable for queries analysis. Using as a case study the automatic translation of queries posed to the Europeana library, we demonstrate that adapted linguistic processing can lead to improvements in translation quality.