Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
Optimal aggregation algorithms for middleware
PODS '01 Proceedings of the twentieth ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
Translation-Based Indexing for Cross-Language Retrieval
Proceedings of the 24th BCS-IRSG European Colloquium on IR Research: Advances in Information Retrieval
The mathematics of statistical machine translation: parameter estimation
Computational Linguistics - Special issue on using large corpora: II
Bitext maps and alignment via pattern recognition
Computational Linguistics
Hindi-english cross-lingual question-answering system
ACM Transactions on Asian Language Information Processing (TALIP)
Mobile search with text messages: designing the user experience for google SMS
CHI '05 Extended Abstracts on Human Factors in Computing Systems
Retrieving answers from frequently asked questions pages on the web
Proceedings of the 14th ACM international conference on Information and knowledge management
A phrase-based statistical model for SMS text normalization
COLING-ACL '06 Proceedings of the COLING/ACL on Main conference poster sessions
Language Models for Handwritten Short Message Services
ICDAR '07 Proceedings of the Ninth International Conference on Document Analysis and Recognition - Volume 01
Investigation and modeling of the structure of texting language
International Journal on Document Analysis and Recognition
Question Similarity Calculation for FAQ Answering
SKG '07 Proceedings of the Third International Conference on Semantics, Knowledge and Grid
SMS based natural language interface to yellow pages directory
Mobility '07 Proceedings of the 4th international conference on mobile technology, applications, and systems and the 1st international symposium on Computer human interaction in mobile technology
Retrieval models for question and answer archives
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
Moses: open source toolkit for statistical machine translation
ACL '07 Proceedings of the 45th Annual Meeting of the ACL on Interactive Poster and Demonstration Sessions
Normalizing SMS: are two metaphors better than one?
COLING '08 Proceedings of the 22nd International Conference on Computational Linguistics - Volume 1
Explicit versus latent concept models for cross-language information retrieval
IJCAI'09 Proceedings of the 21st international jont conference on Artifical intelligence
Language independent unsupervised learning of short message service dialect
International Journal on Document Analysis and Recognition - Special Issue NOISY
SMS based interface for FAQ retrieval
ACL '09 Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP: Volume 2 - Volume 2
Unsupervised cleansing of noisy text
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics: Posters
Proceedings of the International Conference on Advances in Computing, Communications and Informatics
A machine-translation method for normalization of SMS
MCPR'12 Proceedings of the 4th Mexican conference on Pattern Recognition
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Recent times have seen a tremendous growth in mobile based data services that allow people to use Short Message Service (SMS) to access these data services. In a multilingual society it is essential that data services that were developed for a specific language be made accessible through other local languages also. In this paper, we present a service that allows a user to query a Frequently-Asked-Questions (FAQ) database built in a local language (Hindi) using Noisy SMS English queries. The inherent noise in the SMS queries, along with the language mismatch makes this a challenging problem. We handle these two problems by formulating the query similarity over FAQ questions as a combinatorial search problem where the search space consists of combinations of dictionary variations of the noisy query and its top-N translations. We demonstrate the effectiveness of our approach on a real-life dataset.