Publications related to Origin of language

Driving and suppressing the human language network using large language models

Transformer models such as GPT generate human-like language and are predictive of human brain responses to language. Here, using functional-MRI-measured brain responses to 1,000 diverse sentences, we first show that a GPT-based encoding model can predict t ...

Nature Portfolio2024

Stop Pre-Training: Adapt Visual-Language Models to Unseen Languages

Karl Aberer, Rémi Philippe Lebret, Negar Foroutan Eghlidi

Vision-Language Pre-training (VLP) has advanced the performance of many visionlanguage tasks, such as image-text retrieval, visual entailment, and visual reasoning. The pre-training mostly utilizes lexical databases and image queries in English. Previous w ...

Assoc Computational Linguistics-Acl2023

Event-related causality in stereo-EEG discriminates syntactic processing of noun phrases and verb phrases

Silvestro Micera, Fiorenzo Artoni

Objective. Syntax involves complex neurobiological mechanisms, which are difficult to disentangle for multiple reasons. Using a protocol able to separate syntactic information from sound information we investigated the neural causal connections evoked by t ...

IOP Publishing Ltd2023

Cellularization across eukaryotes: Conserved mechanisms and novel strategies

Omaya Pierre Dudin

Many eukaryotes form multinucleated cells during their devel-opment. Some cells persist as such during their lifetime, others choose to cleave each nucleus individually using a specialized cytokinetic process known as cellularization. What is cellula-rizat ...

CURRENT BIOLOGY LTD2023

BLACK-BOX ATTACKS ON IMAGE ACTIVITY PREDICTION AND ITS NATURAL LANGUAGE EXPLANATIONS

Andrea Cavallaro

Explainable AI (XAI) methods aim to describe the decision process of deep neural networks. Early XAI methods produced visual explanations, whereas more recent techniques generate multimodal explanations that include textual information and visual represent ...

Ieee Computer Soc2023

Bias at a Second Glance: A Deep Dive into Bias for German Educational Peer-Review Data Modeling

Vinitra Swamy, Tanja Christina Käser Jacober, Thiemo Wambsganss

Natural Language Processing (NLP) has become increasingly utilized to provide adaptivity in educational applications. However, recent research has highlighted a variety of biases in pre-trained language models. While existing studies investigate bias in di ...

2022

Multitask adaptation with Lattice-Free MMI for multi-genre speech recognition of low resource languages

Hervé Bourlard, Petr Motlicek

In this paper, we develop Automatic Speech Recognition (ASR) systems for multi-genre speech recognition of low-resource languages where training data is predominantly conversational speech but test data can be in one of the following genres: news broadcast ...

ISCA-INT SPEECH COMMUNICATION ASSOC2021

PARSINLU: A Suite of Language Understanding Challenges for Persian

Rabeeh Karimi Mahabadi

Despite the progress made in recent years in addressing natural language understanding (NLU) challenges, the majority of this progress remains to be concentrated on resource-rich languages like English. This work focuses on Persian language, one of the wid ...

2021

High gamma response tracks different syntactic structures in homophonous phrases

Silvestro Micera, Fiorenzo Artoni

Syntax is a species-specific component of human language combining a finite set of words in a potentially infinite number of sentences. Since words are by definition expressed by sound, factoring out syntactic information is normally impossible. Here, we c ...

Nature Research2020

Idiap Submission to Swiss-German Language Detection Shared Task

Petr Motlicek

Language detection is a key part of the NLP pipeline for text processing. The task of automatically detecting languages belonging to disjoint groups is relatively easy. It is considerably challenging to detect languages that have similar origins or dialect ...

CEUR Workshop Proceedings2020

An Institutional Approach to Normative Distributed Robotics for Mixed Societies of Humans and Robots

Alicja Barbara Roelofsen

We are entering the era of robots, for everyone, everywhere. The expectations of the robots being reliable, intelligent and friendly artificial creatures drive the key challenges of the state-of-the-art robotics: technological, practical and social. The la ...

EPFL2020

Architecture of the centriole cartwheel‐containing region revealed by cryo‐electron tomography

Henning Paul-Julius Stahlberg, Paul Guichard, Virginie Hamel

Centrioles are evolutionarily conserved barrels of microtubule triplets that form the core of the centrosome and the base of the cilium. While the crucial role of the proximal region in centriole biogenesis has been well documented, its native architecture ...

2020

Language Independent Query by Example Spoken Term Detection

Dhananjay Ram

Language independent query-by-example spoken term detection (QbE-STD) is the problem of retrieving audio documents from an archive, which contain a spoken query provided by a user. This is usually casted as a hypothesis testing and pattern matching problem ...

EPFL2019

Towards Norm Realization in Institutions Mediating Human-Robot Societies

Alcherio Martinoli, Stevan Tomic, Alicja Barbara Roelofsen

Social norms are the understandings that govern the behavior of members of a society. As such, they regulate communication, cooperation and other social interactions. Robots capable of reasoning about social norms are more likely to be recognized as an ext ...

2018

Analyse multi-échelle de n-grammes sur 200 années d'archives de presse

Vincent Christian Buntinx

The recent availability of large corpora of digitized texts over several centuries opens the way to new forms of studies on the evolution of languages. In this thesis, we study a corpus of 4 million press articles covering a period of 200 years. The thesis ...

EPFL2017

Encoding and Decoding Models in Cognitive Electrophysiology

Stéphanie Martin

Cognitive neuroscience has seen rapid growth in the size and complexity of data recorded from the human brain as well as in the computational tools available to analyze this data. This data explosion has resulted in an increased use of multivariate, model- ...

Frontiers Media Sa2017

Synaptic patterning and the timescales of cortical dynamics

Alexander Kevin Seeholzer

Neocortical circuits, as large heterogeneous recurrent networks, can potentially operate and process signals at multiple timescales, but appear to be differentially tuned to operate within certain temporal receptive windows. The modular and hierarchical or ...

Elsevier2017

Studying Linguistic Changes over 200 Years of Newspapers through Resilient Words Analysis

Frédéric Kaplan, Cyril Antoine Michel Bornet, Vincent Christian Buntinx

This paper presents a methodology to analyze linguistic changes in a given textual corpus allowing to overcome two common problems related to corpus linguistics studies. One of these issues is the monotonic increase of the corpus size with time, and the ot ...

2017

The Number of Genomic Copies at the 16p11.2 Locus Modulates Language, Verbal Memory, and Inhibition

Nouchine Hadjikhani, Bogdan Draganski, Loyse Hippolyte, Borja Rodriguez Herreros

BACKGROUND: Deletions and duplications of the 16p11.2 BP4-BP5 locus are prevalent copy number variations (CNVs), highly associated with autism spectrum disorder and schizophrenia. Beyond language and global cognition, neuropsychological assessments of thes ...

Elsevier Science Inc2016

Feature mapping using far-field microphones for distant speech recognition

David Imseng, Petr Motlicek

Acoustic modeling based on deep architectures has recently gained remarkable success, with substantial improvement of speech recognition accuracy in several automatic speech recognition (ASR) tasks. For distant speech recognition, the multi-channel deep ne ...

2016