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Tuning Elasticsearch for English-Language Precision

Strange Loop Conference via YouTube

Overview

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Explore the intricacies of building word-driven search for the English language in this 36-minute conference talk from Strange Loop. Delve into the challenges of handling edge cases, irregularities, and linguistic complexities when creating search functionalities. Learn how to leverage Elasticsearch's custom analyzers, tokenizers, and mappings to improve precision in finding the right words, regardless of their peculiarities. Discover techniques for balancing precision and recall, ranking and scoring results, and adapting Elasticsearch to accommodate the full spectrum of English language nuances. Gain insights from real-world examples drawn from a large online dictionary project, and uncover strategies for handling unconventional terms, phrases, and even emoji. Presented by Erin McKean, a developer evangelist for LoopBack at IBM and founder of Wordnik.com, this talk offers valuable knowledge for developers and linguists alike seeking to enhance their understanding of language-driven search capabilities.

Syllabus

"Tuning Elasticsearch for English-Language Precision" by Erin McKean

Taught by

Strange Loop Conference

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