Natural Language Processing In Healthcare: A Special Focus on Low Resource Languages

ISBN-13: 9780367685393 / Angielski / Twarda / 2022 / 312 str.

Ondrej Bojar; Satya Ranjan Dash; Shantipriya Parida

Opis

As Natural Language Processing (NLP) gets more and more traction in healthcare applications, there is a growing demand for developing solutions that can understand, analyze, and generate languages that humans can understand.

Spis treści

Chapter 1. A Clinical Practice by Machine Translation on Low Resource Languages, Chapter 2. Feature Analysis and Classification of Impaired Language Caused by Brain Injury, Chapter 3. Natural Language Processing for Mental Disorders: an Overview, Chapter 4. Healthcare Nlp Infrastructure for the Greek Language, Chapter 5. Formalizing the Recognition of Medical Domain Multiword Units, Chapter 6. Healfavor: Machine Translation Enabled Healthcare Chat Based Application, Chapter 7. Development of a Machine Translation System for Promoting the Use of a Low Resource Language in the Clinical Domain: the Case of Basque, Chapter 8. Clinical Nlp for Drug Safety, Chapter 9. Language- and Domain-independent Approach to Automatic Detection of Covid-19 Fake News, Chapter 10. Employing Computational Linguistics to Improve Patient-provider Secure Email Exchange: the Eclippse Study