Expanding the JHU Bible Corpus for Machine Translation of the Indigenous Languages of North America
Code (0)
등록된 구현이 없습니다.
Tasks
Machine TranslationSimilar Papers 제목 키워드 기반
The eBible Corpus: Data and Model Benchmarks for Bible Translation for Low-Resource Languages
Efficiently and accurately translating a corpus into a low-resource language remains a challenge, regardless of the strategies employed, whether manual, automated, or a combination of the two. Many Christian organization…
BenchmarkingMachine TranslationNMTTranslationEfficacy of ByT5 in Multilingual Translation of Biblical Texts for Underrepresented Languages
This study presents the development and evaluation of a ByT5-based multilingual translation model tailored for translating the Bible into underrepresented languages. Utilizing the comprehensive Johns Hopkins University B…
Latin-Spanish Neural Machine Translation: from the Bible to Saint Augustine
Although there are several sources where to find historical texts, they usually are available in the original language that makes them generally inaccessible. This paper presents the development of state-of-the-art Neura…
Domain AdaptationMachine TranslationTranslationIndT5: A Text-to-Text Transformer for 10 Indigenous Languages
Transformer language models have become fundamental components of natural language processing based pipelines. Although several Transformer models have been introduced to serve many languages, there is a shortage of mode…
Language ModelingLanguage ModellingMachine TranslationTranslationCreating a massively parallel Bible corpus
We present our ongoing effort to create a massively parallel Bible corpus. While an ever-increasing number of Bible translations is available in electronic form on the internet, there is no large-scale parallel Bible cor…
Machine TranslationTranslation