Language is not becoming more simplified.
People are able to identify and decipher what each other are saying based on their own knowledge of the already established rules of english and communication
RΓΊa, P. (2005). SHORTENING DEVICES IN TEXT MESSAGING: A MULTILINGUAL APPROACH. Neuphilologische Mitteilungen, 106(2), 139-155. Retrieved from https://t.co/k6MHOiBbAB
Text messaging
- allows users to be creative and develop their own rules for in-group communication
- Space saving by use of emojis, Phonetic Respelling, Initializing, Clipping, and Abbreviation
The Phenomena
- Twitter has advanced the idea of shortened speech
- People are forced to use emojis an shortened speech in addition to normal English to get heir ideas out.
Agarwal, A., Xie, B., Vovsha, I., Rambow, O., & Passonneau, R. (2011, June). Sentiment analysis of twitter data. In Proceedings of the workshop on languages in social media (pp. 30-38). Association for Computational Linguistics.
84.1% of "tokens" are what we expect to find in the english language
4.2% are twitter specific ( @,#,emojis)
11.7% are not found in english language ("Txt" speech, misspellings)