Multilingual Text Style Transfer: Datasets & Models for Indian Languages
Text style transfer (TST) involves altering the linguistic style of a text while preserving its core
content. This paper focuses on sentiment transfer, a vital TST subtask (Mukherjee et al …
content. This paper focuses on sentiment transfer, a vital TST subtask (Mukherjee et al …
Low-resource text style transfer for Bangla: Data & models
Text style transfer (TST) involves modifying the linguistic style of a given text while retaining
its core content. This paper addresses the challenging task of text style transfer in the Bangla …
its core content. This paper addresses the challenging task of text style transfer in the Bangla …
Are Large Language Models Actually Good at Text Style Transfer?
We analyze the performance of large language models (LLMs) on Text Style Transfer (TST),
specifically focusing on sentiment transfer and text detoxification across three languages …
specifically focusing on sentiment transfer and text detoxification across three languages …
Ufal-uld at blp-2023 task 1: Violence detection in bangla text
In this paper, we present UFAL-ULD team's system, desinged as a part of the BLP Shared
Task 1: Violence Inciting Text Detection (VITD). This task aims to classify text, with a …
Task 1: Violence Inciting Text Detection (VITD). This task aims to classify text, with a …
A survey of text style transfer: Applications and ethical implications
Text style transfer (TST) is an important task in controllable text generation, which aims to
control selected attributes of language use, such as politeness, formality, or sentiment …
control selected attributes of language use, such as politeness, formality, or sentiment …
Style Knowledge Graph: Augmenting Text Style Transfer with Knowledge Graphs
Text style transfer is the task of modifying the stylistic attributes of a given text while
preserving its original meaning. This task has also gained interest with the advent of large …
preserving its original meaning. This task has also gained interest with the advent of large …
An Enhanced Method for Mongolian-Chinese Neural Machine Translation Using Multilingual Datastores and Chinese-Centric Methods
B Wang, Y Ji, N Wu, X Liu, Y Wang, R Mao… - … Conference on Natural …, 2024 - Springer
Low-resource language translation remains a significant challenge in natural language
processing, particularly for the Mongolian-Chinese language pair under the “Belt and Road” …
processing, particularly for the Mongolian-Chinese language pair under the “Belt and Road” …