Naming the world: Semantic associations and form-meaning mappings in the mental lexicon across sign languages

The SemaSign project aims to uncover form-meaning correspondences in sign languages using computational methods and datasets to enhance understanding of mental lexicons and improve sign language resources.

Subsidie
€ 1.490.840
2024

Projectdetails

Introduction

Words in sign languages are rich in visual meaning. They contain shapes, movements, relations in space, etc., that depict objects and actions as symbolic metaphors; e.g., the action of pulling words out of the head in one language means ‘to ponder’.

Yet, signs are also encoded into units of form that are articulated in simultaneous constructions, unlike sequences of consonants and vowels in spoken words.

Research Questions

How, then, do signers store richly symbolic words that occur in highly simultaneous forms in their mental lexicons? At present, insight into these mental mappings remains highly occluded, not only at the level of behavioral and neural phenomena but in terms of linguistic analysis as well.

  1. What, indeed, is morphology in sign languages when even the smallest units of form—like hooked fingers or a location at the throat—can carry meaning?
  2. What is the nature of these units?
  3. Do they vary across sign languages or are the iconic roots of form-meaning mappings so powerful that the same ones re-occur across unrelated sign languages?

Answering these questions is urgently needed to create better sign language resources for teaching and learning, and to advance language technologies.

Project Overview

The SemaSign project proposes a ground-breaking approach to these questions by locating form-meaning correspondences in sign languages through computational means while creating new empirically robust datasets to reveal how signs are organized in the mental lexicon.

Semantic networks are created for sign languages from Germany, Kenya, and Guinea Bissau on the basis of word association responses in which a signer sees a sign from their language and responds with the first three signs that come to mind.

This will establish an objective measure of semantic relatedness, enabling computational means to locate clusters of signs unusually close in both form and meaning.

Emerging Lexicons

As the language in Guinea Bissau was formed only 15 years ago, we will also discover how lexicons emerge and grow at a very early stage.

Financiële details & Tijdlijn

Financiële details

Subsidiebedrag€ 1.490.840
Totale projectbegroting€ 1.490.840

Tijdlijn

Startdatum1-2-2024
Einddatum31-1-2029
Subsidiejaar2024

Partners & Locaties

Projectpartners

  • UNIVERSITY OF HAMBURGpenvoerder

Land(en)

Germany

Vergelijkbare projecten binnen European Research Council

ERC Starting...

Fundamentals of formal properties of nonmanuals: A quantitative approach

This project aims to establish a quantitative typology of nonmanuals in five sign languages to explore universal linguistic features and their differences in expression across modalities.

€ 1.500.000
ERC Consolid...

Language in the Dyad. Linking linguistic and neural alignment.

This project investigates the relationship between neural and linguistic alignment in dyadic communication using EEG hyper-scanning and interactive language games to enhance understanding of dialogue dynamics.

€ 1.997.048
ERC Starting...

Gates to Language

The GALA project investigates the biological mechanisms of language acquisition in humans and nonhuman species to uncover why only humans can learn language.

€ 1.490.057
ERC Consolid...

Productive Signs. A Computer-Assisted Analysis of Evolutionary, Typological, and Cognitive Dimensions of Word Families

The project aims to explore the evolution, universal processes, and cognitive influences on word family formation by integrating historical, typological, and cognitive linguistic data through new computational models.

€ 2.000.000
ERC Starting...

The Evolution of Visual Information Encoding

The project aims to analyze Paleolithic geometric signs using linguistic tools to uncover the evolution of visual information encoding in human history.

€ 1.495.191