Annotation Services
TRANSPERFECT DATAFORCE

Annotation adds meaningful labels to data so that they can be used as a means of learning by various systems. It is pivotal that the data is structured in the right way to make it useable for machine learning. There are many different annotation task types, depending on project needs. Linguistic annotation tasks include morphosyntactic annotation, part-of-speech tagging, named entity annotation, and many more.

If natural language processing (NLP) is based on supervised learning, annotated/labeled data is of crucial importance. Simple examples would include:

A virtual assistant holding a conversation by tracking anaphoric usages (e.g., pronouns referring to something else in the text).

A data extraction system scanning text to retrieve the most important information for the project.

A text summarization tool to crop out unimportant parts of a text to gather important information in a more concise way.

 

For annotation tasks, TransPerfect DataForce follows a simple and efficient strategy. After defining the requirements and deciding on the workflow, DataForce conducts an internal pilot and shares results with the client. After approval, the full-scale project starts.

 

DataForce has a global community of 1,000,000 members from all around the globe and linguistic experts in over 200 languages. DataForce is its own platform but can also use client or third-party tools. This way, your data is always under control.