Create rules or grammars in multiple languages to improve the accuracy of your language technology solutions
Whether you are working on a sentiment analysis solution, an Interactive Voice Response system, or another solution that relies on recognizing speech or text, you’ll need to create linguistic rules for it to respond properly in the language of your customers. These rules recognize meaningful units in language so that your system will work effectively in all of your target markets.
Our expert linguists work with your team to understand your objectives and help you develop linguistic rules and grammars that support the needs of your target users.
With deep expertise in more than 180 languages and access to a global crowd of over 1 million skilled contractors, Appen partners with global companies to help them develop, enhance and use products that rely on natural languages and machine learning.
Insights from Conversational Interaction 2018: NLP, Chatbots, and Comedians
Prithivi Pradeep, Appen VP of Business Development, and I recently attended Conversational Interaction in San Jose, CA. The conference provides companies and individuals a great opportunity to share and learn about the resources and knowledge that allow them to embrace AI. The importance of Artificial Intelligence technology has been emphasized by influential corporate executives and thoughtful analysts alike. Conversational interfaces are a major …
New Discoveries: Pashto Language and Intonation Patterns
Last month, I presented cutting-edge research on the Pashto language, which is a language from Afghanistan and Pakistan, at Interspeech in Stockholm. The paper, titled Pashto Intonation Patterns, was co-written with Appen’s Director of Linguistic Services, Judith Bishop, and Senior Linguistic Project Manager, Mim Corris. It was based on data used in a project that began in Autumn 2014 and …
AI Requires a Human Touch: How Appen Recruits Crowds to Improve Technology
Kerri Reynolds, Sr. VP of Human Resources and Crowdsourcing, shares insights into crowdsourcing and crowd recruiting.