A Review of Text Style Transfer Using Deep Learning

نویسندگان

چکیده

Style is an integral component of a sentence indicated by the choice words person makes. Different people have different ways expressing themselves; however, they adjust their speaking and writing style to social context, audience, interlocutor, or formality occasion. Text transfer defined as task adapting and/or changing stylistic manner in which written, while preserving meaning original sentence. A systematic review text methodologies using deep learning presented this article. We point out technological advances neural networks that been driving force behind current successes fields natural language understanding generation. The structured around two key stages process, namely, representation generation new style. discussion highlights commonalities differences between proposed solutions well challenges opportunities are expected direct foster further research field.

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ژورنال

عنوان ژورنال: IEEE transactions on artificial intelligence

سال: 2022

ISSN: ['2691-4581']

DOI: https://doi.org/10.1109/tai.2021.3115992