[HTML][HTML] Improving news headline text generation quality through frequent POS-Tag patterns analysis

N Fatima, SM Daudpota, Z Kastrati, AS Imran… - … Applications of Artificial …, 2023 - Elsevier
Original synthetic content writing is one of the human abilities that algorithms aspire to
emulate. The advent of sophisticated algorithms, especially based on neural networks has …

[HTML][HTML] Pashto poetry generation: deep learning with pre-trained transformers for low-resource languages

I Ullah, K Ullah, H Khan, K Aurangzeb… - PeerJ Computer …, 2024 - peerj.com
Generating poetry using machine and deep learning techniques has been a challenging
and exciting topic of research in recent years. It has significance in natural language …

Finding contrasting patterns in rhythmic properties between prose and poetry

HF de Arruda, SM Reia, FN Silva, DR Amancio… - Physica A: Statistical …, 2022 - Elsevier
Poetry and prose are written artistic expressions that help us appreciate the reality we live in.
Each of these styles has its own set of subjective properties, such as rhyme and rhythm …

Copiously Quote Classics: Improving Chinese Poetry Generation with historical allusion knowledge

Z Han, J Liu, Y Zhang, L Zhang, L Wang… - Computer Speech & …, 2025 - Elsevier
Integrating allusions into poems is an advanced form of human poetry writing, which could
clearly express the author's thoughts and arouse the resonance of readers. However …

[PDF][PDF] Effectiveness of zero-shot models in automatic Arabic poem generation

MEG Beheitt, MB HajHmida - Jordanian Journal of Computers and …, 2023 - researchgate.net
Text generation is one of the most challenging applications in artificial intelligence and
natural-language processing. In recent years, text generation has gained much attention …

Machine masquerades a poet: Using unsupervised t5 transformer for semantic style transformation in poetry generation

A Moitra - International Conference on Applied Informatics, 2023 - Springer
This paper presents a novel approach to automatically capturing the unique style of various
poets and using it to convert given poems into the styles of those poets. The method …

[SÁCH][B] Generative Models in Natural Language Processing and Computer Vision

S Talafha - 2022 - search.proquest.com
Generative models are broadly used in many subfields of DL. DNNs have recently
developed a core approach to solving data-centric problems in image classification …