“I’m a spawts guay”: Comparing the Use of Sociophonetic Variables in Speech and Twitter
نویسنده
چکیده
This paper compares the rates of use of phonological variation across speech and, through variant spellings, Twitter data. Speech data came from New York sports personality Mike Francesa and one of his fans parodying him. The fan's tweets, which include a large number of variant spellings, were also analyzed. Two patterns emerged. For the most salient variables, th-stopping and r deletion, the fan overshot Francesa's use in speech and used them at that same higher rate in his tweets. However, for less-salient variables the fan used them at the same rate in speech as Francesa and used them at a far lower rate in their tweets. This suggests that the rate of use of a variable on Twitter can be used to investigate salience. This working paper is available in University of Pennsylvania Working Papers in Linguistics: http://repository.upenn.edu/pwpl/ vol22/iss2/18 “I’m a spawts guay”: Comparing the Use of Sociophonetic Variables in Speech and Twitter
منابع مشابه
Comparing the Voice Handicap Index Scores in Groups with Structural and Functional Voice Disorders
Objective: The effects of voice disorders vary from person to person. Occupation, work environment, life, and family reaction are variables that affect one’s perception of his/her own as an impaired voice. Voice Handicap Index (VHI) has not yet been used to compare the degree of voice disorders. Assuming that the quality of life may be different under a variety of voice disorders and that diffe...
متن کاملThe Impact of Contextual Variables on Internal Intensification of Apology Speech Acts in Persian: Social Distance and Severity of Offense in Focus
The current paper primarily provides an account of how apology speech acts are internally intensified in Persian. Moreover, the study checks to what extent contextual variables, namely social distance and severity of offense, may motivate the internal intensification of apology speech acts. To these ends, the study collected the required speech acts through a Discourse Completion Test (DCT) fro...
متن کاملPresentation of K Nearest Neighbor Gaussian Interpolation and comparing it with Fuzzy Interpolation in Speech Recognition
Hidden Markov Model is a popular statisical method that is used in continious and discrete speech recognition. The probability density function of observation vectors in each state is estimated with discrete density or continious density modeling. The performance (in correct word recognition rate) of continious density is higher than discrete density HMM, but its computation complexity is very ...
متن کاملPresentation of K Nearest Neighbor Gaussian Interpolation and comparing it with Fuzzy Interpolation in Speech Recognition
Hidden Markov Model is a popular statisical method that is used in continious and discrete speech recognition. The probability density function of observation vectors in each state is estimated with discrete density or continious density modeling. The performance (in correct word recognition rate) of continious density is higher than discrete density HMM, but its computation complexity is very ...
متن کاملA High-Performance Model based on Ensembles for Twitter Sentiment Classification
Background and Objectives: Twitter Sentiment Classification is one of the most popular fields in information retrieval and text mining. Millions of people of the world intensity use social networks like Twitter. It supports users to publish tweets to tell what they are thinking about topics. There are numerous web sites built on the Internet presenting Twitter. The user can enter a sentiment ta...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2016