SemEval-2023 task 12: sentiment analysis for african languages (AfriSenti-SemEval)
We present the first Africentric SemEval Shared task, Sentiment Analysis for African
Languages (AfriSenti-SemEval)-The dataset is available at https://github. com/afrisenti …
Languages (AfriSenti-SemEval)-The dataset is available at https://github. com/afrisenti …
Findings of the WMT'22 shared task on large-scale machine translation evaluation for African languages
We present the results of the WMT'22 SharedTask on Large-Scale Machine Translation
Evaluation for African Languages. The shared taskincluded both a data and a systems track …
Evaluation for African Languages. The shared taskincluded both a data and a systems track …
CODET: A benchmark for contrastive dialectal evaluation of machine translation
Neural machine translation (NMT) systems exhibit limited robustness in handling source-
side linguistic variations. Their performance tends to degrade when faced with even slight …
side linguistic variations. Their performance tends to degrade when faced with even slight …
Big-c: a multimodal multi-purpose dataset for bemba
We present BIG-C (Bemba Image Grounded Conversations), a large multimodal dataset for
Bemba. While Bemba is the most populous language of Zambia, it exhibits a dearth of …
Bemba. While Bemba is the most populous language of Zambia, it exhibits a dearth of …
LIMIT: Language Identification, Misidentification, and Translation using Hierarchical Models in 350+ Languages
Knowing the language of an input text/audio is a necessary first step for using almost every
NLP tool such as taggers, parsers, or translation systems. Language identification is a well …
NLP tool such as taggers, parsers, or translation systems. Language identification is a well …
Enhancing Translation Systems for Low-Resourced Settings
MMI Alam - 2024 - search.proquest.com
There are around 7000 languages that are alive worldwide; among them, only 50-200
languages are well-resourced. In many regions of the world, there are languages and …
languages are well-resourced. In many regions of the world, there are languages and …
Enhancing Translation Ability of Large Language Models by Leveraging Task-Related Layers
P Cheng, X Shi, Y Li - Proceedings of the 2024 Joint International …, 2024 - aclanthology.org
Abstract Fine-tuning Large Language Models (LLMs) for machine translation is effective but
costly. It also increases the risk of overfitting and catastrophic forgetting, especially when …
costly. It also increases the risk of overfitting and catastrophic forgetting, especially when …