Results 31 to 40 of about 323,393 (339)
The Treatment of Geographical Dialect in Literary Translation from the Perspective of Relevance Theory [PDF]
, 2017 This paper discusses problems involved in the translation of literary works that apply linguistic varieties, especially geographical dialects. It surveys selected approaches to the functions of dialects in literature and to the strategies of dealing with
Adamczyk +58 more
core +1 more source
An Analysis of sounds and spellings based on RP [i:] in the nineteenth-century Lancashire vernacular
Estudios Humanísticos. Filología, 2023 Northern dialects and the Lancashire vernacular have been substantially represented in literature. Regional literature is principally classified into dialect literature and literary dialect.
Nadia Hamade
doaj +2 more sources
AI generates covertly racist decisions about people based on their dialect
NatureHundreds of millions of people now interact with language models, with uses ranging from help with writing1,2 to informing hiring decisions3. However, these language models are known to perpetuate systematic racial prejudices, making their judgements ...
Valentin Hofmann +3 more
semanticscholar +1 more source
DarijaBERT: a step forward in NLP for the written Moroccan dialect
International Journal of Data Science and AnalysisThe established performance of existing transformer-based language models, delivering state-of-the-art results on numerous downstream tasks, is noteworthy.
Kamel Gaanoun +4 more
semanticscholar +1 more source
Intent Arabic text categorisation based on different machine learning and term frequency
IET Networks, EarlyView., 2022 Abstract The complexity of Internet network configurations has made managing networks a complicated undertaking. Intent‐Based Networking (IBN) is a potential solution to this issue. In contrast to conventional networks, where a concrete description of the settings typically conveys a network administrator's goal kept on each device, an administrator's ...
Mohammad Fadhil Mahdi +1 more
wiley +1 more source
A Highly Adaptive Acoustic Model for Accurate Multi-dialect Speech Recognition [PDF]
IEEE International Conference on Acoustics, Speech, and Signal Processing, 2019 Despite the success of deep learning in speech recognition, multi-dialect speech recognition remains a difficult problem. Although dialect-specific acoustic models are known to perform well in general, they are not easy to maintain when dialect-specific ...
Sanghyun Yoo, Inchul Song, Yoshua Bengio
semanticscholar +1 more source
Unlocking the Mystery of Dialect B
, 2020 This article addresses incipient/aI/-raising in Fort Wayne, Indiana. Acoustic analysis of word list data from 27 participants targets both typical items (e.g., write, writing) and monomorphemic trochaic words often overlooked in previous research (e.g ...
Stuart Davis +2 more
semanticscholar +1 more source
Adversarial Multitask Learning for Joint Multi-Feature and Multi-Dialect Morphological Modeling [PDF]
Annual Meeting of the Association for Computational Linguistics, 2019 Morphological tagging is challenging for morphologically rich languages due to the large target space and the need for more training data to minimize model sparsity. Dialectal variants of morphologically rich languages suffer more as they tend to be more
Nasser Zalmout, Nizar Habash
semanticscholar +1 more source
Dialectologia, 2022 The Irish language is among the oldest vernaculars spoken in Europe, but Ireland’s history and the language shift to English led to the almost complete demise of traditional Irish in Ireland. The current dialects areas – South, West and North – are the remnants of a much greater geographical distribution of Irish throughout the country.
openaire +1 more source
Frontiers in CommunicationFaced with the decline of dialects, the rise of new media platforms has made young dialect enthusiasts an emerging force in maintaining language diversity.
Zhixing Mei
doaj +1 more source