To build a solution that thinks and acts like a human requires large volumes of training data. For a machine learning solution to understand this information, the data must be properly categorized and annotated for the application. With high-quality, human-annotated data, companies can build and improve AI and machine learning applications. The result is an enhanced customer experience for related solutions such as product recommendations, relevant search engine results, computer vision, speech recognition, chatbots, and more.
As an industry leader, Appen has the expertise and resources to help you quickly scale data annotation for a variety of data types, including text, audio, speech, image, and video — in over 180 languages and dialects. Our linguistic annotation services can help improve solutions like speech recognition, natural language processing, and site search relevance.
When you engage with Appen, you gain access to our skilled team of linguists and project managers working across the world. We have proven expertise in helping our clients train machine learning programs to better understand text, mimic human thought, and respond more accurately to human interaction.
Engage Appen for high-quality, secure, and agile project delivery
High-quality data annotation is a top priority at Appen. From the first day of a project, we establish a dedicated Quality & Innovation team to manage this process, using a range of standard QA methods and proprietary processes to ensure quality output. We work with you to define quality targets and methods, then manage the projects and workforce to meet or exceed goals — including quality, reporting, and auditing. From multi-content, side