Results 41 to 50 of about 972,067 (310)
Automatic Speech Recognition for Uyghur, Kazakh, and Kyrgyz: An Overview
Applied Sciences, 2022 With the emergence of deep learning, the performance of automatic speech recognition (ASR) systems has remarkably improved. Especially for resource-rich languages such as English and Chinese, commercial usage has been made feasible in a wide range of ...
Wenqiang Du +5 more
doaj +1 more source
Software Vulnerability Prediction in Low-Resource Languages: An Empirical Study of CodeBERT and ChatGPT [PDF]
International Conference on Evaluation & Assessment in Software EngineeringBackground: Software Vulnerability (SV) prediction in emerging languages is increasingly important to ensure software security in modern systems. However, these languages usually have limited SV data for developing high-performing prediction models. Aims:
T. H. Le, M. A. Babar, T. Thai
semanticscholar +1 more source
Scientific African, 2023 Deaf and hard of hearing (DHH) is a communication impairment that affects millions of people worldwide, hindering communication through the vocal cavity and requiring the use of sign language.
Mustapha Deji Dere +3 more
doaj +1 more source
Neural Machine Translation For Low Resource Languages
CoRR, 2023 Neural Machine translation is a challenging task due to the inherent complex nature and the fluidity that natural languages bring. Nonetheless, in recent years, it has achieved state-of-the-art performance in several language pairs. Although, a lot of traction can be seen in the areas of multilingual neural machine translation (MNMT) in the recent ...
Vakul Goyle +4 more
openaire +2 more sources
Empowering Low-Resource Languages: Javanese Machine Translation
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)This study addresses the critical need to preserve and revitalize the Javanese language, which despite its widespread popularity, faces challenges as a low-resource language in Indonesia.
Danang Arbian Sulistyo +4 more
doaj +1 more source
Zero-shot Neural Transfer for Cross-lingual Entity Linking
, 2018 Cross-lingual entity linking maps an entity mention in a source language to its corresponding entry in a structured knowledge base that is in a different (target) language.
Carbonell, Jaime +3 more
core +1 more source
Hierarchical Transfer Learning Architecture for Low-Resource Neural Machine Translation
IEEE Access, 2019 Neural Machine Translation(NMT) has achieved notable results in high-resource languages, but still works poorly on low-resource languages. As times goes on, It is widely recognized that transfer learning methods are effective for low-resource language ...
Gongxu Luo +4 more
doaj +1 more source
An Evaluation of Multilingual Offensive Language Identification Methods for the Languages of India
Information, 2021 The pervasiveness of offensive content in social media has become an important reason for concern for online platforms. With the aim of improving online safety, a large number of studies applying computational models to identify such content have been ...
Tharindu Ranasinghe, Marcos Zampieri
doaj +1 more source
Adapting Multilingual LLMs to Low-Resource Languages with Knowledge Graphs via Adapters [PDF]
KALLMThis paper explores the integration of graph knowledge from linguistic ontologies into multilingual Large Language Models (LLMs) using adapters to improve performance for low-resource languages (LRLs) in sentiment analysis (SA) and named entity ...
Daniil Gurgurov +2 more
semanticscholar +1 more source
Enabling Medical Translation for Low-Resource Languages [PDF]
, 2018 We present research towards bridging the language gap between migrant workers in Qatar and medical staff. In particular, we present the first steps towards the development of a real-world Hindi-English machine translation system for doctor-patient communication.
Ahmad Musleh +5 more
openaire +2 more sources