What is Translation Data?
Translation data is collection of texts or documents in one language that are used as input to train machine translation models. It typically consists of parallel texts, where each sentence or phrase is aligned with its corresponding translation in another language. This data is crucial for training and improving the accuracy of machine translation systems.
Translation data refers to the collection of language pairs and corresponding translations used to train machine translation models. Examples of translation data include parallel corpora, bilingual dictionaries, and multilingual documents. Translation data is used to improve the accuracy and fluency of machine translation systems by providing a reference for translating text from one language to another. In this page, you’ll find the best data sources for translation datasets.
Best Translation Datasets & APIs
Nexdata | Multilingual Parallel Corpus Data | 200 Million Pairs | Text AI Training Data | Natural Language Processing Data | Translation Data
TAUS Language Translation Data | Parallel translation for E- Commerce, various language pairs
Data Validation by EPIC Translations: AI & ML Translation Quality Data Evaluation
TAUS Language Translation Data | Parallel translation for Legal contracts and obligations, various language pairs
WebAutomation Off the Shelf Datasets | Audio Data for AI & ML Training | 600+ Hours of Recording | Speech Recognition, Natural Language Processing
Data Annotation by EPIC Translations: Image Annotation Data for AI & ML
TAUS Language Translation Data | Parallel translation for Medical / Pharmaceutical, various language pairs for Machine Learning
Data Collection by EPIC Translations: Copywriting, Text & Audio Data Data for AI & ML Training
TAUS Language Translation Data | Parallel translation for Colloquial English into various languages for Machine Learning