CMU Multilingual NLP 2022 - Translation and Translation Data

Explore the fundamentals of translation and machine translation in this comprehensive lecture by Graham Neubig. Delve into the practice of translation, machine translation techniques, evaluation metrics, and data sources. Learn about bi-text extraction and filtering methods. Gain insights into the translation industry, challenges faced by translators, and the evolution of translation technologies. Examine concepts such as lexical ambiguity, literary translation, and various translation approaches including direct transfer, semantics-based methods, and neural models. Discover the importance of parallel corpora and diverse language data sources in translation tasks. Access accompanying slides and references for further study.

Intro
Translation vs Interpretation
Translation Industry
Why people dont like translation
Translation Ease
Lexical Ambiguity
Literary Translation
Human Translators
Translation
Direct Transfer
Semantics
Interlingua
Neural Models
Data
Parallelcorpora
Languages
Books
Restaurants
Web Data
Opus