Abstract
Analytics for noisy text has recently been of much interest. Short text snippets sent using the short messaging service (SMS) has been one of the popular sources of noisy text. Due to a multitude of factors such as inconvenience in using the small mobile keyboard and the inherent carelessness while typing on-the-go, SMS authors often tend to shorten messages using compression techniques such as dropping vowels in words, replacing words by their shorter phonetic substitutions and dropping entire words. Due to the non-standard nature of such shortening, it becomes awkward to process SMSes electronically.
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Contractor, D., Venkata Subramaniam, L., P., D., Mittal, A. (2013). Text Retrieval Using SMS Queries: Datasets and Overview of FIRE 2011 Track on SMS-Based FAQ Retrieval. In: Majumder, P., Mitra, M., Bhattacharyya, P., Subramaniam, L.V., Contractor, D., Rosso, P. (eds) Multilingual Information Access in South Asian Languages. Lecture Notes in Computer Science, vol 7536. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40087-2_9
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DOI: https://doi.org/10.1007/978-3-642-40087-2_9
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