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Event

The Depth and Breadth of Language Research and Engineering at Grammarly

2023-11-28 – 2023-11-28 Meetup Visit website ↗

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On November 28, join us to learn more about the roles of analytical and computational linguists and discover practical use cases that our linguists deal with on a day-to-day basis.

✅ Registration: to attend the meetup, please register ➡️ here ⬅️

🔈 Speakers: Lena Nahorna, Analytical Linguist Yulia Khalus, Computational Linguist

💥 The Depth and Breadth of Language Research and Engineering at Grammarly

🚀 This talk will help you understand the main responsibilities of analytical and computational linguists at the company, the types of tasks and projects they work on, and how they collaborate with the project teams. You will learn what kind of linguistic expertise is required for building AI-powered solutions at Grammarly.

🔈 BIO: Lena Nahorna—analytical linguist at Grammarly. Works on correctness, responsible AI, and UA-GEC. Background: PhD in linguistics.

Yulia Khalus—сomputational linguist at Grammarly. Works on such features as correctness, enhancement, and quick replies. Background: MA in translation (French-Ukrainian).

Agenda: ✨ 18:30–19:00: Welcome and networking ✨ 19:00–20:00: Grammarly talk ✨ 20:00–21:00: Mingle with the Grammarly team

✅ Where: In-person, Grammarly Berlin hub ✅ When: Tuesday, November 28 ✅ Language: English ✅ Use this link to register: https://gram.ly/3QSGRRs The event is free. Registration is mandatory. Due to a limited number of seats, the invites will be sent to a limited number of interested guests on a first registered, first invited basis. Please check your inbox for a confirmation email about your attendance.

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The Depth and Breadth of Language Research and Engineering at Grammarly

2023-11-28
talk
Lena Nahorna (Grammarly) , Yulia Khalus (Grammarly)

This talk will help you understand the main responsibilities of analytical and computational linguists at the company, the types of tasks and projects they work on, and how they collaborate with the project teams. You will learn what kind of linguistic expertise is required for building AI-powered solutions at Grammarly.