How deeply does How Large Language Models Work cover machine translation?

Explains suitable task patterns and economic implications but stops short of describing translation algorithms or implementation.

Machine translation

As explained in How Large Language Models Work

Machine translation is the automated conversion of text or speech from one human language into another by computational systems.

Machine translation converts text or speech from one human language into another using computational systems. It is most useful when the task is repetitive and varies only mildly. section 7.4.2

Translation systems can increase the amount of work completed without immediately reducing demand for translators. As automated tools become part of a workflow, organizations may translate more material and request more translation services. section 9.1.2

Use machine translation with practical limits in mind:

Prefer repetitive, mildly varying translation tasks, where automated output is more likely to provide useful assistance. section 7.4.2
Treat automation as workflow support rather than proof that human translation work will disappear; efficiency can expand the volume of material needing translation. section 9.1.2
Be cautious with unusual or adversarial situations, where current AI systems can handle novelty less reliably than people. section 7.4.2

How How Large Language Models Work covers it

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Related concepts

BLEU scoremeasured by · BLEU is an automatic text-generation evaluation metric that compares candidate text with reference text using modified n-gram precision and a brevity penalty.
language modelused by · A language model is a computational model that represents patterns in linguistic tokens to estimate sequence probabilities and predict or generate language from context.
encoderuses · An encoder is a component that transforms input data into an encoded representation for subsequent processing, reconstruction, comparison, or transmission.
n-gram modelused by · An n-gram model is a probabilistic language model that estimates sequence probabilities using contiguous sequences of a fixed number of tokens, typically to predict a token from preceding context.
text-to-speech conversionuses · Text-to-speech conversion is the computational synthesis of spoken audio from written text.

This explainer was generated by Manning's knowledge graph from the text of How Large Language Models Work. The section links point to the parts of the book it draws on.