The meaning-frequency law in Zipfian optimization models of communication
نویسنده
چکیده
According to Zipf’s meaning-frequency law, words that are more frequent tend to have more meanings. Here it is shown that a linear dependency between the frequency of a form and its number of meanings is found in a family of models of Zipf’s law for word frequencies. This is evidence for a weak version of the meaning-frequency law. Interestingly, that weak law (a) is not an inevitable of property of the assumptions of the family and (b) is found at least in the narrow regime where those models exhibit Zipf’s law for word frequencies.
منابع مشابه
Zipfian word frequencies support statistical word segmentation
Word frequencies in natural language follow a Zipfian distribution. Artificial language experiments that are meant to simulate language acquisition generally use uniform word frequency distributions, however. In the present study we examine whether a Zipfian frequency distribution influences adult learners’ word segmentation performance. Using two experimental paradigms (a forced choice task an...
متن کاملZipf's and Benford's laws in Twitter hashtags
Social networks have transformed communication dramatically in recent years through the rise of new platforms and the development of a new language of communication. This landscape requires new forms to describe and predict the behaviour of users in networks. This paper presents an analysis of the frequency distribution of hashtag popularity in Twitter conversations. Our objective is to determi...
متن کاملOptimization models of natural communication
A family of information theoretic models of communication was introduced more than a decade ago to explain the origins of Zipf’s law for word frequencies. The family is a based on a combination of two information theoretic principles: maximization of mutual information between forms and meanings and minimization of form entropy. The family also sheds light on the origins of three other patterns...
متن کاملZipfian frequency distributions facilitate word segmentation in context.
Word frequencies in natural language follow a highly skewed Zipfian distribution, but the consequences of this distribution for language acquisition are only beginning to be understood. Typically, learning experiments that are meant to simulate language acquisition use uniform word frequency distributions. We examine the effects of Zipfian distributions using two artificial language paradigms-a...
متن کاملZipf's law emerges asymptotically during phase transitions in communicative systems
Zipf’s law predicts a power-law relationship between word rank and frequency in language communication systems, and is widely reported in texts yet remains enigmatic as to its origins. Computer simulations have shown that language communication systems emerge at an abrupt phase transition in the fidelity of mappings between symbols and objects. Since the phase transition approximates the Heavis...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید
ثبت ناماگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید
ورودعنوان ژورنال:
- Glottometrics
دوره 35 شماره
صفحات -
تاریخ انتشار 2016