International Conference on Linguistics in Sri Lanka (ICLSL)
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Item Sentimental Analysis Based on Sinhala Language Social Media Updates(University of Kelaniya, 2015) Vasanthapriyan, S.The World Wide Web plays a critical role in collecting public opinion where these opinions play an important role in making business decisions. For factual and subjective information about companies and products, analysts are turning to the Internet to gather information. Extracting public opinion is the difficult task in a country like Sri Lanka, because most of the time the language spoken is, Sinhala or Tamil rather than English. Sentimental Analysis being a major research topic in computational linguistic community is quite popular and has led building of better products, understanding user’s opinion, executing and managing of business decisions. However most of the researches never focused on South Asian languages like Sinhala, often used in Social media websites such as Face book, Twitter and etc. Motivated by Sentimental Analysis researches based on Hindi, another south Asian language, we proposed and developed a system that analyzes social media updates in Sinhala language for the sentiments. Starting with three basic sentiments; Positive, Negative and Neutral we retrieve a set of live updates based on Face book and Twitter. This data set is then deployed in to a cloud service and analyzed and give the proper output. Sinhala is a free order language compared to English which adds complexity while handling user generated content. Our finding focuses on how to build a better platform on sentimental analysis to help bloggers to stop spam, business firms to get feedback, and government firms to get urgent service requests. We hope to do more investigation on implicit factors in Sinhala language and give them as features for the models we described in our work.Item A comparative Study on the Structures of Natural Languages and Logical Arguments(University of Kelaniya, 2015) Weerawardhana, V.Language is the base in both Linguistics and Logic. The objective of the Logicians is not to study the natural languages but to study logical arguments in natural languages. However, identifying the structure of natural languages can be very much useful to make the correct deduction in logic. Therefore Semantics is important in both Linguistics and Logic. At the beginning Logicians tried to find out the logical patterns of natural languages, but most of the time they have seen the complexity, ambiguity, vagueness, and context based meaning of them. Therefore limited patterns of natural languages are considered in the formation of logically valid inferences in artificial, machine or formal languages. As well it is still a challenge to convert some components of natural languages into machine language .In order to face challenges in creating artificial languages, it is important to analyze the structure of both languages through a comparative study. In this study it is expected to identify sentence patterns and morphological symbols in both languages. Statement logical concepts and predicate logical concepts are taken in this research as logical languages.Stuctural linguistic analysis is done in this regard. The results of this study reveal that logical symbols abbreviate or shrink the meaning of natural languages in its well-formed formulas. In comparison of the Structures of the two languages, logical patterns can be seen morphologically and syntactically. Compositionality of the semantical component is also an important factor in the formation of logically valid arguments. Therefore this study supports to identify similarities and differences of the structure of the natural and machine languages .At the same time, studying semantics of natural languages and basic concepts of logic helps to analyze the language more efficiently and to generate smart machine languages.