Neural machine translationlow-resource languagesunsupervised NMTsemi-supervised NMTmultilingual NMTtransfer learningdata augmentationzero-shot translationpivotingNeural Machine Translation (NMT) has seen tremendous growth in the last ten years since the early 2000s and has already entered a mature phase. ...
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 Languages Resources for conservation, development, and documentation of low resource (human) languages. According to some estimates, half of the 7,000~ currently spoken languages are expected to become extinct this century. However, there is a lot of work by academics, independent scho...
Speech processing: including text-to-speech synthesis and automatic speech recognition. Multimedia Asian Information Processing: including speech, image, video, image/text translation, etc. Cross-lingual information processing involving Asian or low-resource languages. ...
ELLORA, with its mission to empower every person and every organization using underserved languages to achieve more, is a program for enabling low resource languages through language technology. In this paper we describe how through innovative methodologies and techniques that allow systems to ...
Voice-based technologies are essential to cater to the hundreds of millions of new smartphone users. However, most of the languages spoken by these new users have little to no labelled speech data. Unfortunately, collecting labelled speech data in any language...
etc. -Cross-lingual information processing involving Asian or low-resource languages. -Papers that deal in theory, systems design, evaluation and applications in the aforesaid subjects are appropriate for TALLIP. Emphasis will be placed on the originality and the practical significance of the reported...
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...
Voice-based technologies are essential to cater to the hundreds of millions of new smartphone users. However, most of the languages spoken by these new users have little to no labelled speech data. Unfortunately, collecting labelled speech data in any language is an expensive and resource-intensive...
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...