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Linguistic norms emerge in human communities because people imitate each other. A shared linguistic system provides people with the benefits of shared knowledge and coordinated planning. Once norms are in place, why would they ever change?…

Computation and Language · Computer Science 2014-08-12 Janet B. Pierrehumbert , Forrest Stonedahl , Robert Daland

The noun lexica of many natural languages are divided into several declension classes with characteristic morphological properties. Class membership is far from deterministic, but the phonological form of a noun and/or its meaning can often…

Computation and Language · Computer Science 2020-06-01 Adina Williams , Tiago Pimentel , Arya D. McCarthy , Hagen Blix , Eleanor Chodroff , Ryan Cotterell

Language change is a cultural evolutionary process in which variants of linguistic variables change in frequency through processes analogous to mutation, selection and genetic drift. In this work, we apply a recently-introduced method to…

Computation and Language · Computer Science 2023-08-22 Juan Guerrero Montero , Andres Karjus , Kenny Smith , Richard A. Blythe

Sexual reproduction is not always synonymous with the existence of two morphologically different sexes; isogamous species produce sex cells of equal size, typically falling into multiple distinct self-incompatible classes, termed mating…

Populations and Evolution · Quantitative Biology 2020-05-06 Yvonne Krumbeck , George W. A. Constable , Tim Rogers

The real-world information sources are inherently multilingual, which naturally raises a question about whether language models can synthesize information across languages. In this paper, we introduce a simple two-hop question answering…

Computation and Language · Computer Science 2026-01-13 Yan Meng , Wafaa Mohammed , Christof Monz

Researchers are using deep learning models to explore the emergence of language in various language games, where agents interact and develop an emergent language to solve tasks. We focus on the factors that determine the expressivity of…

Computation and Language · Computer Science 2022-03-17 Shangmin Guo , Yi Ren , Kory Mathewson , Simon Kirby , Stefano V. Albrecht , Kenny Smith

The ever-growing size of the foundation language model has brought significant performance gains in various types of downstream tasks. With the existence of side-effects brought about by the large size of the foundation language model such…

Computation and Language · Computer Science 2022-10-14 Zhengqi He , Taro Toyoizumi

I survey some recent approaches to studying change in the lexicon, particularly change in meaning across phylogenies. I briefly sketch an evolutionary approach to language change and point out some issues in recent approaches to studying…

Computation and Language · Computer Science 2019-06-14 Claire Bowern

Language change involves the competition between alternative linguistic forms (1). The spontaneous evolution of these forms typically results in monotonic growths or decays (2, 3) like in winner-take-all attractor behaviors. In the case of…

Computation and Language · Computer Science 2019-08-21 Diego E Shalom , Mariano Sigman , Gabriel Mindlin , Marcos A Trevisan

In multilingual societies, it is common to encounter different language varieties. Various approaches have been proposed to discuss different mechanisms of language shift. However, current models exploring language shift in languages in…

Physics and Society · Physics 2025-11-04 Pablo Rosillo-Rodes , Maxi San Miguel , David Sanchez

In this note we suggest that difficulties encountered in natural language semantics are, for the most part, due to the use of mere symbol manipulation systems that are devoid of any content. In such systems, where there is hardly any link…

Artificial Intelligence · Computer Science 2007-12-13 Walid S. Saba

Methods for learning word representations using large text corpora have received much attention lately due to their impressive performance in numerous natural language processing (NLP) tasks such as, semantic similarity measurement, and…

Computation and Language · Computer Science 2015-11-23 Danushka Bollegala , Alsuhaibani Mohammed , Takanori Maehara , Ken-ichi Kawarabayashi

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…

Computation and Language · Computer Science 2025-06-06 Clara Meister , Tiago Pimentel , Gian Wiher , Ryan Cotterell

We present a computational analysis of cognate effects on the spontaneous linguistic productions of advanced non-native speakers. Introducing a large corpus of highly competent non-native English speakers, and using a set of carefully…

Computation and Language · Computer Science 2018-05-25 Ella Rabinovich , Yulia Tsvetkov , Shuly Wintner

When generating natural language from neural probabilistic models, high probability does not always coincide with high quality: It has often been observed that mode-seeking decoding methods, i.e., those that produce high-probability text…

Computation and Language · Computer Science 2022-04-01 Clara Meister , Gian Wiher , Tiago Pimentel , Ryan Cotterell

Multilingual reasoning remains a significant challenge for large language models (LLMs), with performance disproportionately favoring high-resource languages. Drawing inspiration from cognitive neuroscience, which suggests that human…

Computation and Language · Computer Science 2025-12-12 Weixiang Zhao , Jiahe Guo , Yang Deng , Tongtong Wu , Wenxuan Zhang , Yulin Hu , Xingyu Sui , Yanyan Zhao , Wanxiang Che , Bing Qin , Tat-Seng Chua , Ting Liu

Language universals have long been attributed to an innate Universal Grammar. An alternative explanation states that linguistic universals emerged independently in every language in response to shared cognitive or perceptual biases. A…

Physics and Society · Physics 2015-06-25 Andrea Baronchelli , Vittorio Loreto , Andrea Puglisi

Morphologically rich languages accentuate two properties of distributional vector space models: 1) the difficulty of inducing accurate representations for low-frequency word forms; and 2) insensitivity to distinct lexical relations that…

Computation and Language · Computer Science 2017-06-02 Ivan Vulić , Nikola Mrkšić , Roi Reichart , Diarmuid Ó Séaghdha , Steve Young , Anna Korhonen

An infinte word w avoids a pattern p with the involution t if there is no substitution for the variables in p and no involution t such that the resulting word is a factor of w. We investigate the avoidance of patterns with respect to the…

Formal Languages and Automata Theory · Computer Science 2011-08-19 Bastian Bischoff , Dirk Nowotka

We examine the effect of noise on societies of agents using an agent-based model of evolutionary norm emergence. Generally, we see that noisy societies are more selfish, smaller and discontent, and are caught in rounds of perpetual…

Multiagent Systems · Computer Science 2024-11-28 Stavros Anagnou , Daniel Polani , Christoph Salge