Search Results for author:
Found 4 papers, 1 papers with code
Authorship Attribution in Bangla Literature (AABL) via Transfer Learning using ULMFiT
Moreover, we introduce the publicly available Bangla Authorship Attribution Dataset of 16 authors (BAAD16) containing 17, 966 sample texts and 13. 4+ million words to solve the standard dataset scarcity problem and release six variations of pre-trained language models for use in any Bangla NLP downstream task.
Authorship Attribution in Bangla literature using Character-level CNN
Characters are the smallest unit of text that can extract stylometric signals to determine the author of a text.
A Continuous Space Neural Language Model for Bengali Language
Language models are generally employed to estimate the probability distribution of various linguistic units, making them one of the fundamental parts of natural language processing.
A Subword Level Language Model for Bangla Language
Language models are at the core of natural language processing.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
