Results 11 to 20 of about 7,458,709 (348)

Exploring the Role of Grammar and Word Choice in Bias Toward African American English (AAE) in Hate Speech Classification

open access: yesConference on Fairness, Accountability and Transparency, 2022
Language usage on social media varies widely even within the context of American English. Despite this, the majority of natural language processing systems are trained only on “Standard American English,” or SAE, the construction of English most ...
Camille Harris   +4 more
semanticscholar   +1 more source

Middle-Class African American English

open access: yes, 2021
African American English (AAE) is a major area of research in linguistics, but until now, work has primarily been focused on AAE as it is spoken amongst the working classes.
Tracey L. Weldon
semanticscholar   +1 more source

Demographic Dialectal Variation in Social Media: A Case Study of African-American English [PDF]

open access: yesConference on Empirical Methods in Natural Language Processing, 2016
Though dialectal language is increasingly abundant on social media, few resources exist for developing NLP tools to handle such language. We conduct a case study of dialectal language in online conversational text by investigating African-American ...
Su Lin Blodgett   +2 more
semanticscholar   +1 more source

Dats Wassup!!: Investigating African-American Vernacular English in Transformer-Based Text Generation [PDF]

open access: yesConference on Empirical Methods in Natural Language Processing, 2020
The growth of social media has encouraged the written use of African American Vernacular English (AAVE), which has traditionally been used only in oral contexts.
Sophie Groenwold   +6 more
semanticscholar   +1 more source

Analyzing Use of Thanks to You: Insights for Language Teaching and Assessment in Second and Foreign Language Contexts [PDF]

open access: yes, 2011
This investigation of thanks to you in British and American usage was precipitated by a situation at an American university, in which a native Arabic speaker said thanks to you in isolation, making his intended meaning unclear.
Crompton, Peter, Lanteigne, Betty
core   +1 more source

The Ryerson Audio-Visual Database of Emotional Speech and Song (RAVDESS): A dynamic, multimodal set of facial and vocal expressions in North American English

open access: yesPLoS ONE, 2018
The RAVDESS is a validated multimodal database of emotional speech and song. The database is gender balanced consisting of 24 professional actors, vocalizing lexically-matched statements in a neutral North American accent.
S. R. Livingstone, F. Russo
semanticscholar   +1 more source

Metapragmatic Evaluation of Verbal Irony by Speakers of Russian and American English [PDF]

open access: yes, 2012
The paper discusses metapragmatic assessment of verbal irony by speakers of Russian and American English. The research combines ideas from metapragmatics, folk linguistics and corpus linguistics. Empirical data are drawn from the Russian National Corpus (
Shilikhina, Ksenia
core   +1 more source

Dialect awareness and lexical comprehension of mainstream american english in african american english-speaking children. [PDF]

open access: yesJ Speech Lang Hear Res, 2014
Edwards J   +6 more
europepmc   +2 more sources

Beyond saying thanks. Compliment responses in American English and Peninsular Spanish [PDF]

open access: yes, 2017
This study explores how American English and Peninsular Spanish speakers respond to a compliment. Participants completed an online discourse completion test with nine different complimenting scenarios.
Cots Caimons, Josep Maria   +1 more
core   +2 more sources

Modelling L1 and the artificial language during artificial language learning

open access: yesLaboratory Phonology, 2023
Artificial language learning research has become a popular tool to investigate universal mechanisms in language learning. However, often it is unclear whether the found effects are due to learning, or due to artefacts of the native language or the ...
Dinah Baer-Henney, Kevin Tang
doaj   +2 more sources

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