Learn to use AI to quickly and accurately translate text and read source code

✍For readers: software engineers, architects, IT professionals, designers, etc.

✍Objective of the article: to help you learn to use AI correctly, translate text quickly and accurately, and read source code quickly

✍Column : Artificial Intelligence Tool Practice

language translation

verify

code translation

verify

Tips for Effective Translation

summarize

ChatGPT has demonstrated its ability to handle translation tasks with astonishingly high accuracy. While Google Translate has been the go-to tool for multilingual translation for many years, recent research has shown that ChatGPT is competitive with commercial translation products in well-resourced European languages

ChatGPT's strengths as a translator are not limited to natural language text. You can also translate code between different programming languages. Simply provide an initialization prompt describing the translation you want, and ChatGPT can generate the translated code with high accuracy, usually within seconds.

In this article, you will learn how to use ChatGPT hints to understand ChatGPT's translation features. Specifically, you will learn how to:

Translate a poem from English to Swedish.
Translate code from Julia to Python.
Improve translation results.

overview

This article is divided into three parts; they are

language translation
code translation
Tips for Effective Translation

language translation

Before making a translation hint, you must establish an initialization hint that provides the necessary context for translators and text styles. For our current task, you are translating a poem by Robert Frost and will incorporate this information into your initialization prompt:

You are a translation helper that translates English poems into Swedish.

Instead of providing a poem, ChatGPT will simply confirm your intent:

Sure! I can help you with translating English poems into Swedish. Please provide me with the English poem you would like to have translated, and I’ll do my best to assist you.

Your translation bot is now fully prepared and has a full understanding of the context. You can ask it to translate the poem into Swedish. You provide this poem in your second prompt:

Please convert the following poem from English to Swedish:

Nature’s first green is gold,
Her hardest hue to hold.
Her early leaf’s a flower;
But only so an hour.
Then leaf subsides to leaf.
So Eden sank to grief,
So dawn goes down to day.
Nothing gold can stay.

Here's ChatGPT's response:

Sure! Here’s the translation of the poem “Nothing Gold Can Stay” by Robert Frost into Swedish:

Nature's first green is gold,
Her hardest shade to keep.
Her early leaves are a flower;
But only for about an hour.
Then it disappears leaf by leaf.
So Eden sank in sorrow,
So dawn goes down to day.
Nothing gold can last.

I hope this translation captures the essence of the original poem in Swedish. Let me know if there’s anything else I can assist you with!

verify

To confirm the accuracy of the translation, you can paste the translated poem into Google Translate to get the English version. In this case, the translation is almost perfect, which is impressive considering the difficulty of translating poetry. It successfully captures the essence and meaning of the original poem.

code translation

In this section, you'll ask ChatGPT to convert a simple number guessing game from Julia to Python.

Many programming languages look similar to each other. To ensure successful code translation, you must provide context through initialization hints. This prompt introduces the code translator and specifies the type of code being translated:

You are a professional software engineer that has mastered both Julia and Python programming languages. In this case, you will help me translate a simple Julia game into Python.

Similar to the previous example, ChatGPT will confirm your command and wait for your code:

Of course! I’d be happy to help you translate your Julia game into Python. Please provide me with the code for the game in Julia, and I’ll assist you in converting it to Python.

Now, ask ChatGPT to convert the following code to Python using the following hints:

Please convert the following Julia code to Python:

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```

function number_game()

    secret_number = rand(1:100)  # Generate a random secret number between 1 and 100

    attempts = 0

    println("Welcome to the Number Game!")

    println("I'm thinking of a number between 1 and 100. Can you guess it?")

    while true

        attempts += 1

        guess = parse(Int, readline())  # Read the player's guess from input

        if guess < secret_number

            println("Too low! Try again.")

        elseif guess > secret_number

            println("Too high! Try again.")

        else

            println("Congratulations! You guessed the number in $attempts attempts!")

            break

        end

    end

end

# Call the number_game function to start the game

number_game()

```

The code above intentionally uses triple backtick quoting, following Markdown's conventions for quoting code. You will see that ChatGPT translated the code in the response:

certainly! Here is the equivalent Python code given the Julia code:

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import random

def number_game():

    secret_number = random.randint(1, 100)   # Generate a random secret number between 1 and 100

    attempts = 0

    print("Welcome to the Number Game!")

    print("I'm thinking of a number between 1 and 100. Can you guess it?")

    while True:

        attempts += 1

        guess = int(input())  # Read the player's guess from input

        if guess < secret_number:

            print("Too low! Try again.")

        elif guess > secret_number:

            print("Too high! Try again.")

        else:

            print(f"Congratulations! You guessed the number in {attempts} attempts!")

            break

# Call the number_game function to start the game

number_game()

验证

As a language model, ChatGPT may produce some errors in the code. In order to verify the accuracy of the translation, you should create a Python file named .py number_game.py, paste the converted code, and execute the file in a terminal to let the real Python interpreter tell you whether the code works as expected.

In this case, ChatGPT perfectly converted the Julia code to Python with just one simple hint.

Tips for Effective Translation

While it is possible to write simple translation hints and get results, there are some tips you can follow to improve the quality of translation output:

Start with an initialization prompt before making a translation request.
Provide additional context to help the model understand the meaning behind the text. For example, specify whether the text is a poem or a technical document.
Clearly state the source and target languages in the prompt.
Use simple, concise sentences in any follow-up prompts.
Be sure to proofread and verify translations for accuracy.
Make sure your input text has proper punctuation and follows proper formatting guidelines for better translation results.

summarize

In this post, we explore different use cases for ChatGPT machine translation, highlighting effective strategies for achieving accurate translations. Specifically, we discussed the following topics:

Write efficient initialization and translation hints for language translations.
Write translation hints for technical tasks, such as converting Julia code to Python.
Enhance translation results with context awareness, attention to punctuation, validation techniques, and optimization of ChatGPT
hint.

By implementing these technologies, you can take full advantage of ChatGPT's translation capabilities and obtain high-quality translations for various use cases.