resource languages have significantly lower attack success rate, which suggests that the cross-lingual vulnerability mainly applies to low-resource languages. Previously, limited training on low-resource languages primarily affects speakers of those languages, causing technological disparities. However, our ...
Low resource languagesMorphologyQuechuaFinnishSpanishLow-resource languages (LRL) with complex morphology are known to be more difficult to translate in an automatic way. Some LRLs are particularly more difficult to translate than others due to the lack of research interest or collaboration. In this ...
It was renamed to reflect that endangerment is a loaded term that both may not reflect the views of language communities speaking minority languages. low-resource-languages focuses this list on a lack of digital resources compared to other, high resourced languages.Tools which are built for these...
The ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP) publishes high quality original archival papers, survey papers, and technical notes in the areas of computation and processing of information in Asian languages, low-resource languages of Africa, Australasia, Oceania...
Evaluation of a Machine Translation System for Low Resource Languages In this paper we describe the METIS-II system and its evaluation on each of the language pairs: Dutch, German, Greek, and Spanish to English. The METIS-II ... V Vandeghinste,P Dirix,I Schuurmann,... - 《European ...
Recent advancements in large language models (LLMs) have enabled the development of systems capable of generating human-like responses across a wide range of tasks. However, research focus has been primarily on high-resource languages such as English, German, and French, whereas low-resource langua...
Low-resource languages1 often have limited labeled data or even without any labels, which may make us disable to train a robust and accurate offensive speech identification model. To build an offensive speech identification model for low-resource languages, recently many researchers used cross-lingual...
We present a multi-task learning approach that jointly trains three word alignment models over disjoint bitexts of three languages - source, target and pivot. Our approach builds upon model triangulation, following Wang et al., which approximates a source-target model by combining source-pivot and...
摘要: Developing a corpus for evaluation of user experience in a low-resource setting.A novel framework integrating grammar structures with GCN and mT5 for enhanced sentiment analysis.The results indicate a preference for the method over other traditional models.关键词:...
Crowdsourcing Speech Data for Low-Resource Languages from Low-Income Workers Basil Abraham, Danish Goel, Divya Siddarth, Kalika Bali, Manu Chopra, Monojit Choudhury, Pratik Joshi, Preethi Jyothi, Sunayana Sitaram, Vivek Seshadri Language Resources and Evaluation Conferenc...