Results 21 to 30 of about 61,083 (354)

Cockney moved East: the dialect of the first generation of East Londoners raised in Essex [PDF]

open access: yes, 2022
This paper provides a dialectological account of the variety spoken by the first generation to grow up in a community in Essex populated by East Londoners after World War II.
Cole, Amanda
core   +1 more source

Dialect Diversity in Text Summarization on Twitter [PDF]

open access: yesThe Web Conference, 2020
Discussions on Twitter involve participation from different communities with different dialects and it is often necessary to summarize a large number of posts into a representative sample to provide a synopsis.
L. E. Celis, Vijay Keswani
semanticscholar   +1 more source

In formation of dialectic differences in gagauz language on historical-ethnic factors

open access: yesUluslararası Türk Lehçe Araştırmaları Dergisi, 2021
Gagauzs are an Orthodox Christian Turkic group. They live in countries such as Bulgaria, Greece, Moldova and Ukraine. Gagauz people living in Moldova can receive education in Gagauz language, because they have certain rights.
L. A. POKROVSKAYA , Bülent HÜNERLİ
doaj  

Amatorskie promowanie gwary cieszyńskiej (wybrane formy, strategie, rozwiązania)

open access: yesLingVaria, 2023
AMATEUR PROMOTION OF THE CIESZYN DIALECT (SELECTED FORMS, STRATEGIES, SOLUTIONS) The paper focuses on the dialectological topics and problems related to sociolinguistics, ethnolinguistics and psycholinguistics. It gives us insight into Cieszyn Silesia’
Małgorzata Bortliczek, Irena Bogoczová
doaj   +1 more source

Dialectal speech self–evaluation and vitality: Šakiai and Jurbarkas sub-dialects in the beginning of the twenty-first century

open access: yesLietuvių Kalba, 2015
Šakiai and Jurbarkas sub-dialects belong to the northern part Western Highlanders of Kaunas region. There is described location of this area in the Lithuanian dialect classification, specific features, dialectal speech self–evaluation and vitality in the
Rima Bakšienė
doaj   +1 more source

Nabiha: An Arabic Dialect Chatbot

open access: yesInternational Journal of Advanced Computer Science and Applications, 2020
Nowadays, we are living in the era of technology and innovation that impact various fields, including sciences. In computing and technology, many outstanding and attractive programs and applications have emerged, including programs that try to mimic the ...
Dana Al-Ghadhban, Nora Al-Twairesh
semanticscholar   +1 more source

Our Language—Linguistic Ideologies and Japanese Dialect Use in L1/L2 Interaction

open access: yesJapanese Language and Literature, 2020
This study uses conversation data and ethnographic interviews to examine the role of meta-talk in speaker legitimacy for L2 Japanese speakers. Autoethnographic analysis of conversation data demonstrates how an L2 speaker is co-constructed (jointly ...
Jae DiBello Takeuchi
doaj   +1 more source

Investigating the effects of gender, dialect, and training size on the performance of Arabic speech recognition

open access: yesLanguage Resources and Evaluation, 2020
Research in Arabic automatic speech recognition (ASR) is constrained by datasets of limited size, and of highly variable content and quality. Arabic-language resources vary in the attributes that affect language resources in other languages (noise ...
Eiman Alsharhan, A. Ramsay
semanticscholar   +1 more source

Gender and Dialect Bias in YouTube’s Automatic Captions

open access: yesEthNLP@EACL, 2017
This project evaluates the accuracy of YouTube’s automatically-generated captions across two genders and five dialect groups. Speakers’ dialect and gender was controlled for by using videos uploaded as part of the “accent tag challenge”, where speakers ...
Rachael Tatman
semanticscholar   +1 more source

Multi-Dialect Speech Recognition with a Single Sequence-to-Sequence Model [PDF]

open access: yesIEEE International Conference on Acoustics, Speech, and Signal Processing, 2017
Sequence-to-sequence models provide a simple and elegant solution for building speech recognition systems by folding separate components of a typical system, namely acoustic (AM), pronunciation (PM) and language (LM) models into a single neural network ...
Bo Li   +8 more
semanticscholar   +1 more source

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