Domain Adaptation can be classified into three types - supervised, semi-supervised, and unsupervised - and three methods - model-centric, data-centric, or hybrid.
In the latest feature of Microsoft Custom Translator, customers can easily access pre-built custom machine translation models by TAUS for specific industries and use cases.
How is ChatGPT being used by the translation industry and is it really fit for the purposes of machine translation or language data for AI applications?
Text Summarization can be categorized under two types: Extraction and Abstraction. With the power of AI, summarization is becoming more popular and accessible.
Synthetic parallel data generation by back-translation as a solution for the problem of translating low-resource languages and texts from low-resource domains.
Join 100+ language data for AI industry leaders and gurus from around the world to brainstorm together, tackle common challenges and share innovative solutions
It is crucial to choose the right audio transcription type between verbatim, edited, intelligent, and phonetic, to best suit your transcription project needs
BLEU scores are essential to calculate translation precision: they compare reference translations with MT translation output, also known as candidate translations.
Natural Language Technologies are on the rise: making optimal use of NLT and its subcategories is crucial to remain up-to-date with the latest AI solutions
TAUS lists datasets for MT customization and offers for data creation, data annotation, and relevant NLP services for AWS customers through the AWS Marketplace.