NIM

NIM is a search engine designed to look for the collection of psycholinguistic research materials. Its purpose is to simplify the task of researchers during the preparation and design of experiments.

Authors:  Marc Guasch,  Roger Boada,  Pilar Ferré,  Rosa Sánchez-Casas,  Antonio Masip,  Enric Sunyer
Updated:  2021-12-24
Source:  https://psico.fcep.urv.cat/utilitats/nim/
Keywords:  psycholinguistics,  lexicon,  word-recognition,  English,  Spanish,  Catalan

Mini Pinyin

A dataset creating a false language based on Mandarin Chinese for the purpose of studying higher order language learning

Authors:  Zachariah R. Cross,  Lena Zou-Williams,  Erica M. Wilkinson,  Matthias Schlesewsky,  Ina Bornkessel-Schlesewsky
Updated:  2020-12-24
Source:  http://crr.ugent.be/archives/806
Keywords:  lexicon,  word-recognition,  age-of-acquisition,  linguistics

The French Lexicon Project

The French Lexicon Project contains lexical decision times for over 38,000 French words.

Authors:  Ludovic Ferrand,  Boris New,  Marc Brysbaert,  Emmanuel Keuleers,  Patrick Bonin,  Alain Meot,  Maria Augustinova,  Christophe Pallier
Updated:  2020-02-03
Source:  https://osf.io/f8kc4/
Keywords:  lexicon,  vocabulary,  French,  word-frequency,  word-recognition

The English Crowdsourcing Project (L1 Speakers)

The English Crowdsourcing Project (L1 speakers) contains word recognition times for 61,851 English words in a Y/N vocabulary recognition task.

Authors:  Pawel Mandera,  Emmanuel Keuleers,  Marc Brysbaert
Updated:  2019-07-31
Source:  http://crr.ugent.be/programs-data/lexicon-projects
Keywords:  word-recognition,  lexical-decision,  crowdsourcing

The Dutch Crowdsourcing Project

The Dutch Crowdsourcing Project contains word recognition times for 54,319 Dutch words in a Y/N vocabulary recognition task.

Authors:  Marc Brysbaert,  Emmanuel Keuleers,  Pawel Mandera
Updated:  2019-07-17
Source:  http://crr.ugent.be/programs-data/lexicon-projects
Keywords:  lexicon,  Dutch,  word-recognition,  psycholinguistic

Time Invariant String Kernel Model

TISK is the Time Invariant String Model of (human) spoken word recognition.

Authors:  Heejo You,  Thomas Hannagan,  James Magnuson
Updated:  2017-12-15
Source:  https://github.com/maglab-uconn/TISK1.0
Keywords:  word-recognition,  phonetics,  python,  English

Age of Acquisition Ratings

We collected age-of-acquisition (AoA) ratings for 30,121 English content words (nouns, verbs, and adjectives).

Authors:  Marc Brysbaert,  Hans Stadthagen-Gonzalez,  Victor Kuperman
Updated:  2017-11-24
Source:  http://crr.ugent.be/archives/806
Keywords:  lexicon,  word-recognition,  age-of-acquisition,  linguistics

AUditory syntaX (AUX)

AUX (AUditory syntaX) is a scripting syntax specifically designed to describe and process auditory signals. In a nutshell, it consists of 1) functions to create and process sound signals, 2) operators particularly relevant to sounds, and 3) usual mathematic operations that you may find in any programming language.

Authors:  Bomjun J. Kwon
Updated:  2016-07-20
Source:  http://auditorypro.com/download/aux/
Keywords:  speech,  language,  audition,  psychoacoustic,  word-recognition,  experiment,  education,  programming,  English

Dutch Age-of-Acquisition and Concreteness Ratings

We have collected age-of-acquisition norms and concreteness norms for 30,000 Dutch words.

Authors:  Marc Brysbaert,  Michaël Stevens,  Simon De Deyne,  Wouter Voorspoels,  and Gert Storms
Updated:  2014-04-23
Source:  http://crr.ugent.be/archives/1602
Keywords:  Dutch,  word-recognition,  concreteness,  age-of-acquisition,  lexicon

Spanish Confusions Corpus

Behavioral data and stimuli from a large-scale corpus of noise-induced misperceptions in Spanish.

Authors:  Máté Attila Tóth,  María Luisa García Lecumberri,  Yan Tang,  Martin Cooke
Updated:  2014-01-01
Source:  http://laslab.org/resources/confusions/
Keywords:  misperceptions,  errors,  word-recognition,  noise,  spanish,  audio-data,  behavioral-data