Data on its own is not enough to build a robust machine learning application. Data has to be enhanced through annotation. Data annotation or labeling refers to tagging or marking up predefined metadata elements of a dataset. We offer this service at scale and with utmost precision through our own Human Language Platform (HLP) and global HLP community.
Our proprietary micro-task platform is built to support a wide range of annotation use cases.
We follow advanced quality assurance steps such as automated validation, spot-checks, and a vetting system to assign workers seniority.
Do you have specific guidelines? We have full flexibility to work within your requirements and timeline.
Together with our global community and advanced technology, we have the capability to process text, audio and image data.
Improve your machine learning models to create better AI systems, together with our global data community.
Named entity recognition (NER) tagging
Data Annotation to Optimize Searchability in E-Commerce
For a multinational e-commerce corporation, a community of 200+ TAUS contributors with product affinity in various product categories annotated data to optimize webshop functionalities such as searchability.
Domain-Specific Training Data Generation for SYSTRAN
After the training with TAUS datasets in the pandemic domain, the SYSTRAN engines improved on average by 18% across all twelve language pairs compared to the baseline engines.
Customization of Amazon Active Custom Translate with TAUS Data
The customization of Amazon Translate with TAUS Data always improved the BLEU score measured on the test sets by more than 6 BLEU points on average and 2 BLEU points at a minimum.