25 papers · ranked by Valyu relevance
Diksha Khurana, Aditya Koli, Kiran Khatter, Sukhdev Singh
Natural language processing (NLP) has recently gained much attention for representing and analysing human language computationally. It has spread its applications in various fields such as machine translation, email spam detection, information extraction, summarization, medical, and question answering etc. The paper…
Peter Hagoort
A neurobiological model of language is discussed that overcomes the shortcomings of the classical Wernicke-Lichtheim-Geschwind model. It is based on a subdivision of language processing into three components: Memory, Unification, and Control. The functional components as well as the neurobiological underpinnings of the…
Evelina Fedorenko, Zachary Mineroff, Matthew Siegelman, Idan Blank
To understand what you are reading now, your mind retrieves the meanings of words from a linguistic knowledge store (lexico-semantic processing) and identifies the relationships among them to construct a complex meaning (syntactic or combinatorial processing). Do these two sets of processes rely on distinct…
Muge Ozker, Atsuko Takashima, Laura Giglio, Florian Hintz + 2 more
Language processing is supported by distributed neural systems. Yet most research examines these systems at the population-average level, obscuring how individual cognitive differences shape language-related brain activity. In this study, we combined comprehensive cognitive assessments and task-based fMRI in a large…
Philippe Blache
Most architectures and models of language processing have been built upon a restricted view of language, which is limited to sentence processing. These approaches fail to capture one primordial characteristic: efficiency. Many facilitation effects are known to be at play in natural situations such as conversation…
Kevin Mote
| | | INTRODUCTION: "WHY CAN'T COMPUTERS UNDERSTAND PLAIN ENGLISH?" 1 | | --- | --- | --- | | 1. | THE PURPOSE: | 3 | | 1.1 | | FOUNDATION: "THE HUMAN BRAIN AND COGNITIVE LINGUISTICS" 6 | | 1.2 | | METHODOLOGY: " THE GREAT DEBATE: RULES OR STATISTICS " 9 | | | 1.2.1 | The Rationalists: RULES 10 | | | 1.2.2 | The…
Shaonan Wang, Nai Ding, Nan Lin, Jiajun Zhang + 1 more
Language understanding is a key scientific issue in the fields of cognitive and computer science. However, the two disciplines differ substantially in the specific research questions. Cognitive science focuses on analyzing the specific mechanism of the brain and investigating the brain's response to language; few…
Sarah Aliko, Melissa Franch, Viktor Kewenig, Bangjie Wang + 5 more
Models of the neurobiology of language suggest that a small number of anatomically fixed brain regions are responsible for language functioning. This derives from centuries of aphasia studies and decades of neuroimaging. The latter rely on thresholded measures of central tendency applied to activity patterns from…
Eri Nakagawa, Takahiko Koike, Motofumi Sumiya, Koji Shimada + 4 more
Japanese English learners have difficulty speaking Double Object (DO; give B A) than Prepositional Object (PO; give A to B) structures which neural underpinning is unknown. In speaking, syntactic and phonological processing follow semantic encoding, conversion of non-verbal mental representation into a structure…
Eri Nakagawa, Takahiko Koike, Motofumi Sumiya, Koji Shimada + 4 more
Japanese English learners have difficulty speaking Double Object (DO; give B A) than Prepositional Object (PO; give A to B) structures which neural underpinning is unknown. In speaking, syntactic and phonological processing follow semantic encoding, conversion of non-verbal mental representation into a structure…
Elliot Murphy
In order to design strong paradigms for isolating lexical access and semantics, we need to know what a word is. Surprisingly few linguists and philosophers have a clear model of what a word is, even though words impact basically every aspect of human life. Researchers that regularly publish academic papers about…
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…
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…
Dafydd Gibbon, Sascha Griffiths
Multilinear Grammar provides a framework for integrating the many different syntagmatic structures of language into a coherent semiotically based Rank Interpretation Architecture, with default linear grammars at each rank. The architecture defines a Sui Generis Condition on ranks, from discourse through utterance and…
Mike A. Sharwood Smith
The focus of the current topic is the analysis and interpretation of second language (L2) and multilingual data. Looking at data from speakers who have learned their additional languages after the mother tongue has become well established is of special interest. It advances our knowledge about how different language…
Ulrich Ansorge, Diane Baier, Soonja Choi
How does the language we speak affect our perception? Here, we argue for linguistic relativity and present an explanation through “language-induced automatized stimulus-driven attention” (LASA): Our respective mother tongue automatically influences our attention and, hence, perception, and in this sense determines what…
Tamara Gómez Carrero, Raquel Fernández Fuertes, Maki Kubota, Kimberly Crespo + 1 more
We combine formal linguistic approaches, where formal features are at stake, and psycholinguistic approaches to explore the processing mechanisms involved in language coactivation. In particular, we use linguistic codeswitching as a laboratory condition where the two languages of the bilingual are forced to be…
Mila Vulchanova, David Saldaña, Sobh Chahboun, Valentin Vulchanov
This paper is intended to provide a critical overview of experimental and clinical research documenting problems in figurative language processing in atypical populations with a focus on the Autistic Spectrum. Research in the comprehension and processing of figurative language in autism invariably documents problems in…
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…
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…
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This research presents a novel approach to obstacle detection during navigation using a combination of Convolutional Neural Networks (CNNs) and Long Short-Term Memory (LSTM) networks. The primary objective is to generate accurate image captions that describe the content of images, which is crucial for applications such…
Authors not listed
Bioprocess engineering has incorporated effective AI applications in recent years that consist of traditional approaches to training models on relevant data to then analyze and predict new and unseen data. The missing component has been the ability to process mixed data from an assortment of dissimilar information…
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The exponentially growing body of scientific literature has made manual synthesis and hypothesis generation increasingly impractical, introducing an essential bottleneck in the scientific discovery pipeline. While large language models (LLMs) have unprecedented capability to process and summarize textual knowledge…
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The vastness of chemical space presents a long-standing challenge for the exploration of new compounds with pre-determined properties. In materials science, crystal structure prediction has become a mature tool for mapping from composition to structure based on global optimisation techniques. Generative artificial…
Joseph Manning, Lev Sarkisov
With the continuously growing number of scientific articles on synthesis of nanomaterials, it becomes impossible for researchers to grasp and comprehend the landscape of synthetic protocols available for a particular material. The aim of this study is to explore the feasibility of extracting the collective knowledge on…