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Entity extraction is critical in the intelligent advancement across diverse domains. Nevertheless, a challenge to its effectiveness arises from the data imbalance. This paper proposes a novel approach by viewing the issue through the…

计算与语言 · 计算机科学 2023-09-04 Zhenhua Wang , Ming Ren , Dong Gao , Zhuang Li

Zipf's law of abbreviation, namely the tendency of more frequent words to be shorter, has been viewed as a manifestation of compression, i.e. the minimization of the length of forms -- a universal principle of natural communication.…

The task of text segmentation may be undertaken at many levels in text analysis---paragraphs, sentences, words, or even letters. Here, we focus on a relatively fine scale of segmentation, hypothesizing it to be in accord with a stochastic…

Zipf's law predicts a power-law relationship between word rank and frequency in language communication systems and has been widely reported in a variety of natural language processing applications. However, the emergence of natural language…

计算与语言 · 计算机科学 2018-12-05 Bohdan Khomtchouk , Shyam Sudhakaran

One of the ultimate goals for linguists is to find universal properties in human languages. Although words are generally considered as representing arbitrary mapping between linguistic forms and meanings, we propose a new universal law that…

计算与语言 · 计算机科学 2020-05-06 Li-Min Wang , Sun-Ting Tsai , Shan-Jyun Wu , Meng-Xue Tsai , Daw-Wei Wang , Yi-Ching Su , Tzay-Ming Hong

We present a simple structure based model of how words are formed from morphemes. The model explains two major empirical facts: the typical distribution of word lengths and the appearance of Zipf like rank frequency curves. In contrast to…

统计方法学 · 统计学 2025-12-16 Vladimir Berman

Despite renewed interest in emergent language simulations with neural networks, little is known about the basic properties of the induced code, and how they compare to human language. One fundamental characteristic of the latter, known as…

计算与语言 · 计算机科学 2019-10-16 Rahma Chaabouni , Eugene Kharitonov , Emmanuel Dupoux , Marco Baroni

Understanding the innovation process, that is the underlying mechanisms through which novelties emerge, diffuse and trigger further novelties is undoubtedly of fundamental importance in many areas (biology, linguistics, social science and…

物理与社会 · 物理学 2021-10-29 Giacomo Aletti , Irene Crimaldi

What processes can explain how very large populations are able to converge on the use of a particular word or grammatical construction without global coordination? Answering this question helps to understand why new language constructs…

物理与社会 · 物理学 2007-05-23 A. Baronchelli , M. Felici , E. Caglioti , V. Loreto , L. Steels

We use the formulation of equilibrium statistical mechanics in order to study some important characteristics of language. Using a simple expression for the Hamiltonian of a language system, which is directly implied by the Zipf law, we are…

物理与社会 · 物理学 2009-11-11 Kosmas Kosmidis , Alkiviadis Kalampokis , Panos Argyrakis

The pioneering research of G. K. Zipf on the relationship between word frequency and other word features led to the formulation of various linguistic laws. The most popular is Zipf's law for word frequencies. Here we focus on two laws that…

The Zipf's law establishes that if the words of a (large) text are ordered by decreasing frequency, the frequency versus the rank decreases as a power law with exponent close to $-1$. Previous work has stressed that this pattern arises from…

物理与社会 · 物理学 2019-04-03 Felipe Urbina , Javier Vera

A key aim in biology and psychology is to identify fundamental principles underpinning the behavior of animals, including humans. Analyses of human language and the behavior of a range of non-human animal species have provided evidence for…

神经元与认知 · 定量生物学 2014-12-03 R. Ferrer-i-Cancho , A. Hernández-Fernández , D. Lusseau , G. Agoramoorthy , M. J. Hsu , S. Semple

Scaling properties of language are a useful tool for understanding generative processes in texts. We investigate the scaling relations in citywise Twitter corpora coming from the Metropolitan and Micropolitan Statistical Areas of the United…

物理与社会 · 物理学 2019-03-12 Eszter Bokányi , Dániel Kondor , Gábor Vattay

The mapping of lexical meanings to wordforms is a major feature of natural languages. While usage pressures might assign short words to frequent meanings (Zipf's law of abbreviation), the need for a productive and open-ended vocabulary,…

计算与语言 · 计算机科学 2021-05-04 Tiago Pimentel , Irene Nikkarinen , Kyle Mahowald , Ryan Cotterell , Damián Blasi

Long-range correlations are found in symbolic sequences from human language, music and DNA. Determining the span of correlations in dolphin whistle sequences is crucial for shedding light on their communicative complexity. Dolphin whistles…

神经元与认知 · 定量生物学 2014-12-03 Ramon Ferrer-i-Cancho , Brenda McCowan

Today's probabilistic language generators fall short when it comes to producing coherent and fluent text despite the fact that the underlying models perform well under standard metrics, e.g., perplexity. This discrepancy has puzzled the…

计算与语言 · 计算机科学 2025-06-06 Clara Meister , Tiago Pimentel , Gian Wiher , Ryan Cotterell

We present an impossibility result, called a theorem about facts and words, which pertains to a general communication system. The theorem states that the number of distinct words used in a finite text is roughly greater than the number of…

信息论 · 计算机科学 2022-11-03 Łukasz Dębowski

In a language corpus, the probability that a word occurs $n$ times is often proportional to $1/n^2$. Assigning rank, $s$, to words according to their abundance, $\log s$ vs $\log n$ typically has a slope of minus one. That simple Zipf's law…

种群与进化 · 定量生物学 2019-03-27 Steven A. Frank

Causal processes can give rise to distinctive distributions in the linguistic variables that they affect. Consequently, a secure understanding of a variable's distribution can hold a key to understanding the forces that have causally shaped…

计算与语言 · 计算机科学 2021-01-01 Jayden L. Macklin-Cordes , Erich R. Round