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: 2021-04-30
Source: https://psico.fcep.urv.cat/utilitats/nim/
Keywords: psycholinguistics,
lexicon,
word-recognition,
English,
Spanish,
Catalan
A corpus of European Parlimentary speech and tools for machine learning models.
Authors: Chanhan Wang,
Morgane Riviere,
Ann Lee,
Anne Wu,
Chaitanya Talnikar,
Daniel Haziza,
Mary WIlliamson,
Juan Pino,
Emmanuel Dupoux
Updated: 2021-04-30
Source: https://aclanthology.org/2021.acl-long.80/
Keywords: English,
German,
French,
Spanish,
Polish,
Italian,
Romanian,
Hungarian,
Czech,
Dutch,
Finnish,
Slovak,
Slovenian,
Estonian,
Lithuanian,
Portuguese,
Bulgarian,
Greek,
Latvian,
Maltese,
Swedish,
Danish,
speech synthesis,
machine learning,
Accented Speech
childLex is based on a corpus of children’s books and comprises 10 million words that were syntactically annotated and lemmatized. childLex reports linguistic norms for lexical, superlexical, and sublexical variables in three different age groups: 6–8 (grades1–2), 9–10 (grades 3–4), and 11–12 years (grades 5–6).
Authors: Sascha Schroeder,
Kay-Michael Würzner,
Julian Heister,
Alexander Geyken,
Reinhold Kliegl
Updated: 2021-03-02
Source: https://osf.io/m59uv/
Keywords: language,
lexicon,
reading-development,
linguistics,
German
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