Grammarly Engineering Blog

DataMeasuring Marketing Effectiveness in a Cookie-Less World

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NLP/MLHow Grammarly's NLP Team Is Building the Future of Communication
InfrastructureEffective Customer Data Protection: How Grammarly Scales and Automates Our Vulnerability Management Program
NLP/MLDetecting Delicate Text: Going Beyond Toxicity

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NLP/MLUnderstanding How Humans Revise: Introducing IteraTeR, a New NLP Dataset for Iterative Text Revision
ProductUsing Dependency Injection With Needle for More Than Just Testing
ProductBuilding a Flexible Deployment System for Grammarly for Windows using F# and AWS Lambda
WebUnder the Hood of the Grammarly Editor, Part Two: How Suggestions Work
InfrastructureScaling AWS Infrastructure to Support Multiple Regions
WebUnder the Hood of the Grammarly Editor, Part One: Real-Time Collaborative Text Editing
Lessons From Our Journey to Obtain Our SOC 2 Report and ISO Certifications
NLP/MLHow Grammarly Uses Natural Language Processing and Machine Learning to Identify the Main Points in a Message
ProductThe Top 5 Lessons I’ve Learned as a Product Manager

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