What is Linguistic Rule Development?

Natural Language Processing (NLP) is a branch of artificial intelligence that explores the interaction between computers and humans through natural language. All languages are governed by grammars, or sets of linguistic rules that govern the composition of sentences. These grammars aren’t easy for computers to understand due to the inherent ambiguity and imprecise characteristics of natural language. Therefore, most NLP systems rely on explicitly defined syntactic rules to learn faster and perform better in the real world.

Lionbridge works directly with machine learning teams worldwide to create and implement linguistic rules in over 300 languages and dialects. Whether your end product is a machine translation engine or virtual assistant, we can confirm that your grammars are correctly defined for your model and target languages.

Why Lionbridge?

Linguistic Expertise

Lionbridge has built the world’s largest NLP team, comprised of project managers, data engineers, and a global network of language experts. With over 20 years of experience, we’ve developed solutions for the world’s largest companies.


The Lionbridge quality assurance system features built-in validation, spot-checking and a worker seniority system. Our system ensures the highest quality of data production for machine learning applications.


Our project management team can work with you to create a tailored execution plan, ensuring that our team completes your project according to your timeline and budget.

1 million+ Contributors
300+ Languages
20+ Years of Experience

How it Works

how to crowdsource data

1. Project set-up

Our team will work with you to develop a custom solution based on your project objectives and timeline.

how to crowdsource data
how to crowdsource data

2. Production

Our crowd of multilingual experts get to work evaluating and reviewing your advertisements.

how to crowdsource data
how to crowdsource data

3. Delivery

Our project management team checks, packages and formats the data before being sent to you for final approval.

how to crowdsource data


Proofing Tool Development Case Study

Learn how Lionbridge helped one of the world’s largest technology companies improve the accuracy of its grammar and spell checking system in 16 languages.

  • 16 Languages
  • 100+ Full-time Data Engineers
  • 300,000+ Hours of Work Completed


Solutions Lionbridge Can Improve

Train your virtual assistant to respond to human speech in a variety of languages, environments, and contexts.
Improve accuracy for speech recognition systems using labeled speech data produced by a diverse set of speakers.