Types of Transductions and Translations

Learn about the two types of transductions and translations.

We'll cover the following

Defining machine translation
Human transductions and translations
Machine transductions and translations

Our first step will be to define machine translation.

Defining machine translation

Vaswani et al. (2017) tackled one of the most difficult NLP problems when designing the transformer. The human baseline for machine translation seems out of reach for us human-machine intelligence designers. This did not stop Vaswani et al. (2017) from publishing the transformer’s architecture and achieving state-of-the-art BLEU results.

In this section, we will define machine translation. Machine translation is the process of reproducing human translation by machine transductions and outputs:

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Course Introduction

Basics of Transformers

Architecture of the Transformer Model

Fine-Tuning BERT Models

Pretraining a RoBERTa Model from Scratch

Downstream NLP Tasks with Transformers

Machine Translation with the Transformer

The Rise of Transformers with GPT-3 Engines

Applying Transformers for AI Text Summarization

Matching Tokenizers and Datasets

Transformers for NLP—Exam 1

Semantic Role Labeling with BERT-Based Transformers

Your Data Speaks: Story, Questions, and Answers

Detecting Customer Emotions to Make Predictions

Analyzing Fake News with Transformers

Interpreting Black Box Transformer Models

From NLP to Task-Agnostic Transfomer Models

The Emergence of Transformer-Driven Copilots

Transformers for NLP—Exam 2

Conclusion

Appendix

Types of Transductions and Translations

Defining machine translation