Machine translation

As explained in Data Analysis with LLMs

Translation is the conversion of content from a source language into an equivalent target language.

Machine translation converts content from a source language into an equivalent target language. In a voice translator, spoken input is transcribed, translated as text, then generated as speech. The target language can be specified in the prompt, including a dialect or style. section 7.4 section 7.4.1 section 7.4.3

Figure 7.2 Our translator tool records spoken input in a first language, transcribes input to text, trans- lates that text into a second language, and finally generates spoken output.

Follow the stages from recorded speech through transcription and text translation to spoken output. section 7.4.1

From French to Shakespearean English

A spoken greeting can be translated into French for colleagues in Paris. The same tool can take English speech and produce a polished Shakespearean-style version by changing the target-language prompt. section 7.4.4

How Data Analysis with LLMs covers it

How deep it goes

Traces transcription, prompt-based text translation, and speech generation through a working Python implementation.

Examples

Uses spoken English translated into French and English recast in a Shakespearean style.

What it assumes

Assumes spoken input can be recorded and delegates source-language identification to the model rather than requiring users to specify it.

What you can do after

Operate a speech translator by recording input and supplying a target language or style.

How it connects

Connects machine translation with speech recognition, speech synthesis, transcription, and prompt design.

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Also explained in

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  How Large Language Models WorkMachine translation is the automated conversion of text or speech from one human language into another by computational systems.
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  Introduction to Generative AI, Second EditionMachine translation is the automated conversion of text or speech from one human language into another.
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  Microsoft Azure in ActionMachine translation is the automated conversion of text or speech from one natural language into another.
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  Data Without LabelsMachine translation is the automated conversion of text or speech from one human language to another.

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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 Data Analysis with LLMs. The section links point to the parts of the book it draws on.