24 papers · ranked by Valyu relevance
Patrik Lindenfors
Language transfers information on at least three levels; (1) what is said, (2) how it is said (what language is used), and, (3) that it is said (that speaker and listener both possess the ability to use language). The use of language is a form of honest cooperation on two of these levels; not necessarily on what is…
Kenny Smith
Recent work suggests that linguistic structure develops through cultural evolution, as a consequence of the repeated cycle of learning and use by which languages persist. This work has important implications for our understanding of the evolution of the cognitive basis for language; in particular, human language and…
Robert M. Worden
A unified theory of language combines a Bayesian cognitive linguistic model of language processing, with the proposal that language evolved by sexual selection for the display of intelligence. The theory accounts for the major facts of language, including its great speed and expressivity, and much data on language…
Maria Eugênia Arantes, Fernando Cendes
Human language can convey a broad range of entities and relationships through processes that are highly complex and structured. All of these processes are happening somewhere inside our brains, and one way of precising these locations is through the usage of the functional magnetic resonance imaging. The great obstacle…
Lluís Barceló-Coblijn, Víctor M Eguíluz, Luís F Seoane
Syntax is an aspect of human language responsible for the hierarchical ordering of linguistic structures. Syntax can be summarized by dependency trees with words as nodes and edges reflecting syntactic subordination. By merging trees from several sentences, we obtain syntax graphs or networks, which display distinct…
T. Goucha, A. Anwander, H. Adamson, A. D. Friederici
The world’s languages differ substantially in their sounds, grammatical rules, and expression of semantic relations. While starting from a shared neural substrate, the developing brain must therefore have the plasticity to accommodate to the specific processing needs of each language. However, there is little research…
Dima Ayyash, Saima Malik-Moraleda, Jeanne Gallée, Josef Affourtit + 4 more
To understand the architecture of human language, it is critical to examine diverse languages; yet most cognitive neuroscience research has focused on a handful of primarily Indo-European languages. Here, we report a large-scale investigation of the fronto-temporal language network across 45 languages and establish the…
Johan J. Bolhuis, Ian Tattersall, Noam Chomsky, Robert C. Berwick
How could language have evolved? What is the key innovation underlying the evolution of human language? This Essay argues that the ability to “merge” two syntactic elements uniquely explains the recentness and stability of language. [SK to check before publishing on the homepage] CM 16/7
Antonio Benítez-Burraco, Antonio Bova, Thomas L. Spalding
During the last decades, language sciences have experienced a notable development that has resulted in a deeper understanding of what language is and how it is put into use for fulfilling different functions. Accordingly, we have gained a clearer view of language within the infrastructure of human cognition, including…
Ilia Markov, Kseniia Kharitonova, Elena L. Grigorenko
With the present paper, we sought to use research findings to illustrate the following thesis: the evolution of language follows the principles of human evolution. We argued that language does not exist for its own sake, it is one of a multitude of skills that developed to achieve a shared communicative goal, and all…
Shimon Edelman
What does it mean to know language? Since the Chomskian revolution, one popular answer to this question has been: to possess a generative grammar that exclusively licenses certain syntactic structures. Decades later, not even an approximation to such a grammar, for any language, has been formulated; the idea that…
Saima Malik-Moraleda, Maya Taliaferro, Steve Shannon, Niharika Jhingan + 8 more
What constitutes a language? Natural languages share features with other domains: from math, to music, to gesture. However, the brain mechanisms that process linguistic input are highly specialized, showing little response to diverse non-linguistic tasks. Here, we examine constructed languages (conlangs) to ask whether…
Richard A. Blythe
Methods and insights from statistical physics are finding an increasing variety of applications where one seeks to understand the emergent properties of a complex interacting system. One such area concerns the dynamics of language at a variety of levels of description, from the behaviour of individual agents learning…
Marco Civico
In this paper I argue in favour of the adoption of an interdisciplinary approach based on computational methods for the development of language policies. As a consequence of large-scale phenomena such as globalization, economic and political integration and the progress in information and communication technologies…
Jean-Louis Dessalles
Short abstract. Why do human individuals compete to provide other individuals with information? Standard ways of explaining the evolutionary emergence of language fail to find a selection pressure for massive information exchange that would concern our species exclusively. I suggest that by talking, human individuals…
Pedro Aceves, James A. Evans
Human languages vary widely in how they encode information within circumscribed semantic domains (e.g., time, space, color, human body parts and activities), but little is known about the global structure of semantic information and nothing about its relation to human communication. We first show that across a sample…
Mirko Grimaldi
The neurobiology investigation of language seems limited by the impossibility to link directly linguistic computations with neural computations. To address this issue, we need to explore the hierarchical interconnections between the investigated fields trying to develop an inter-field theory. Considerable research has…
Miloje Rakočević
In some previous works (2018a,b; 2019, 2021a,b, 2022) we presented a new type of mirror symmetry, expressed in the set of protein amino acids; such a symmetry, that it simultaneously represents the semiotic essence of the genetic code. In this paper we provide new evidences that the genetic code represents the unity of…
Authors not listed
Natural language processing with the help of large language models such as ChatGPT has become ubiquitous in many software applications and allows users to interact even with complex hardware or software in an intuitive way. The recent concepts of Self-Driving Labs and Material Acceleration Platforms stand to benefit…
Hannaneh Barahouei Pasandi, Haniyeh B. Pasandi
Automatic speech recognition (ASR) meets more informal and free-form input data as voice user interfaces and conversational agents such as the voice assistants such as Alexa, Google Home, etc., gain popularity. Conversational speech is both the most di!cult and environmentally relevant sort of data for speech…
Pieter Floris Jacobs, Robert Pollice
Scientists across domains are often challenged to master domain-specific languages (DSLs) for their research, which are merely a means to an end but are pervasive in fields like computational chemistry. Automated code generation promises to overcome this barrier, allowing researchers to focus on their core expertise.…
Authors not listed
Language models have been increasingly popular in therapeutic peptide generation, but molecular diversity remains limited due to reliance on the 20 canonical amino acids. We propose a language model that generates peptidomimetics incorporating non-canonical elements like non-canonical amino acids and terminal…
Authors not listed
Step-by-step thinking is essential in all domains of chemical sciences and engineering. While machine learning tools are broadly used, algorithms that automate reasoning are far less common. We elaborate on seven categories of human reasoning activities and connect each to applications in chemical science and…
Dimitris Gkoumas, Maria Liakata
The intersection of chemistry and Artificial Intelligence (AI) is an active area of research focused on accelerating scientific discovery. While using large language models (LLMs) with scientific modalities has shown potential, there are significant challenges to address, such as improving training efficiency and…