Abstract
Uncertainty is the lack of knowledge, or insufficient information. In this paper, we will be majorly discussing uncertainty occurring in natural language. Numerous natural language processing techniques can be applied to minimise linguistic ambiguities. We discuss one of the most widely used techniques—probability theory. An attempt is then made to solve the linguistic uncertainty using the theory.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Dutt LS, Kurian M (2013) Handling of uncertainty—a survey. IJSRP 3(1). Edition [ISSN 2250-3153]
Meghdadi AH, Mohammad R, Akbarzadeh T (2003) Uncertainty modelling through probabilistic fuzzy systems. In: Proceedings of the 4th international conference uncertainty modelling and analysis, pp 56–61
Dwivedi A, Mishra D, Kalra PK (2006) Handling uncertainties—using probability theory to possibility theory. Mag IIT Kanpur 7(3):1–12
Auger A, Roy J (2008) Expression of uncertainty in linguistic data. In: Published 2008 in 2008 11th international conference on information fusion
Zadeh LA (1983) A computational approach of fuzzy quantifiers in natural language. Comput Math Appl 9(1):149–184
Groen FJ, Mosleh A (2004). Foundations of probabilistic inference with uncertain evidence. Int J Approximate Reason 39(1):49–83, Apr 2005
How Bayesian inference works, data science and robots blog
An intuitive explanation of Bayes’ Theorem—better explained
A summary on fuzzy probability theory: Michael Beer, Publication Year: 2010 GrC
Qin B, Xia Y, Prabhakar S, Tu Y (2009) A rule-based classification algorithm for uncertain data. In: Proceedings of the IEEE international conference on data engineering (ICDE), pp 1633–1640
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Patil, A.P., Barsainya, A., Anusha, S., Keerthana, D., Shet, M.J. (2019). Handling Uncertainty in Linguistics Using Probability Theory. In: Mishra, D., Yang, XS., Unal, A. (eds) Data Science and Big Data Analytics. Lecture Notes on Data Engineering and Communications Technologies, vol 16. Springer, Singapore. https://doi.org/10.1007/978-981-10-7641-1_21
Download citation
DOI: https://doi.org/10.1007/978-981-10-7641-1_21
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-10-7640-4
Online ISBN: 978-981-10-7641-1
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)