Speech and Language Resource Bank
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
The first psycholinguistic norms for iconicity, age of acquisition, frequency, and transparency for more than 300 lexical signs in German Sign Language (Deutsche Gebärdensprache, DGS).
Authors: Patrick C. Trettenbrein,
Nina-Kristin Pendzich,
Jens-Michael Cramer,
Markus Steinbach,
Emiliano Zaccarella
Updated: 2021-11-26
Source: https://osf.io/mz8j4/
Keywords: psycholinguistics,
lexicon,
database,
German-Sign-Language,
German,
English
An open-source package for running experiments in Python.
Authors: Jonathan W. Peirce,
Jeremy R. Gray,
Sol Simpson,
Michael R. MacAskill,
Richard Höchenberger,
Hiroyuki Sogo,
Erik Kastman,
Jonas K. Lindeløv
Updated: 2021-04-15
Source: psychopy.org
Keywords: python,
experiment,
neuroscience,
linguistics,
psychology,
psychophysics,
psycholinguistics,
experiment-control,
experimental-design
The Auditory English Lexicon Project (AELP) is a multi-talker, multi-region psycholinguistic database of 10,170 spoken words and 10,170 spoken nonwords.
Authors: Winston D. Goh,
Melvin J. Yap,
Qian Wen Chee
Updated: 2019-12-24
Source: https://inetapps.nus.edu.sg/aelp/
Keywords: psycholinguistics,
database,
lexicon,
audition,
semantics,
English
Python 3.7 resources to evaluate bigram and trigram frequencies in corpora.
Authors: Jeroen van Paridon,
Bill Thompson
Updated: 2019-12-24
Source: https://github.com/jvparidon/subs2vec
Keywords: language,
bigram,
trigram,
lexical norms,
psycholinguistics,
Afrikaans,
Arabic,
Bulgarian,
Bengali,
Breton,
Bosnian,
Catalan,
Czech,
Danish,
German,
Greek,
English,
Esperanto,
Spanish,
Estonian,
Basque,
Farsi,
Finnish,
French,
Galician,
Hebrew,
Hindi,
Croatian,
Hungarian,
Armenian,
Indonesian,
Icelandic,
Italian,
Georgian,
Kazakh,
Korean,
Lithuanian,
Latvian,
Macedonian,
Malayalam,
Malay,
Dutch,
Norwegian,
Polish,
Portuguese,
Romanian,
Russian,
Sinhala,
Slovak,
Slovenian,
Albanian,
Serbian,
Swedish,
Tamil,
Telugu,
Tagalog,
Turkish,
Ukranian,
Urdu,
Vietnamese
The English Lexicon Project affords access to a large set of lexical characteristics, along with behavioral data from visual lexical decision and naming studies of 40,481 words and 40,481 nonwords.
Authors: David A. Balota,
Melvin Yap,
Michael Cortese,
Keith Hutchison,
Brett Kessler,
Bjorn Loftis,
James Neely,
Douglas Nelson,
Greg Simpson,
Rebecca Treiman,
Greg Burgess
Updated: 2019-09-28
Source: https://elexicon.wustl.edu/
Keywords: psycholinguistics,
memory,
computational-modeling,
lexicon,
text-database