Grammarly Engineering Blog
DataFrom Words to Value: How Grammarly's Effective Communication Score Quantifies AI's ImpactFeatured
- ProductHow We Reduced Text Input Lag to Improve Web Performance: A Grammarly Case Study
- TeamEmpowering Women in Tech Through Mentorship at Grammarly
- InfrastructureEffective Customer Data Protection: How Grammarly Scales and Automates Our Vulnerability Management Program
- NLP/MLDetecting Delicate Text: Going Beyond Toxicity
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InfrastructureThe GoldenGate of Grammarly Business![]()
InfrastructureSecurity Keys at Grammarly Part 1: Why We Moved from OTP to FIDO2 for Team Member Authentication![UA GEC 2]()
NLP/MLUA-GEC 2.0: Announcing an Expanded Grammatical Error Correction Dataset for the Ukrainian Language![Annotation Best Practices for Building High-Quality Datasets]()
NLP/MLAnnotation Best Practices for Building High-Quality Datasets![Innovating the basics]()
ProductInnovating the Basics: Achieving Superior Precision and Recall in Grammatical Error Correction![Experimenting with GECToR]()
NLP/MLExperimenting with GECToR: Research into Ensembling and Knowledge Distillation for Large Sequence Taggers![IteraTeR]()
NLP/MLUnderstanding How Humans Revise: Introducing IteraTeR, a New NLP Dataset for Iterative Text Revision![Using Dependency Injection with Needle for More Than Just Testing]()
ProductUsing Dependency Injection With Needle for More Than Just Testing![Building a Flexible Deployment System]()
ProductBuilding a Flexible Deployment System for Grammarly for Windows using F# and AWS Lambda
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