Language Engineering & NLP
Language technology
has evolved.
One of the most useful areas of artificial intelligence for localization is Natural Language Processing (NLP).
Why Use Machine Intelligence?
In translation, we aim to provide users with predictable quality in terms of accuracy, language, style, and formatting. NLP provides tools to assess language in many ways and supports consistent, quality translations.
We combine highly skilled human translators and give them powerful software tools built on the latest advances in AI and machine learning to provide customers with the highest quality language engineering.Through recent advances, machines and software will not only understand spoken words and convert them to text, but also translate them to a target language. While AI is still far from making the human intervention in localization redundant, it reduces cost and cycle time significantly, while helping you manage larger volumes of content and achieve faster time-to-market.
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- NLP Components & Grammar Creation
- Sentiment Analysis & Entity Detection
- Feature & Component Testing
- Chatbot Development
- Social Media Listening
- Real-Time Multilingual Communication
- Language accuracy and cultural insights that increase user acceptance rates and reduce errors and risks
- Fast-paced creation and commercialization of linguistic assets due to streamlined multilingual workflows
- Improved efficiency and reliability with above average increase in output with a percent quality score
- Robust virtual and physical security to mitigate breaches
- Efficient sourcing and managing of rare and skilled language and engineering resources
