This script allows you to translate sentences from English to Hungarian using the DeepL API. It reads sentences from a specified CSV file, translates them incrementally, and saves the output to another CSV file.

To run this script, you need Python installed on your system along with some additional packages. Follow these steps:

1. Clone or download this repository to your local machine.
2. Ensure you have Anaconda or Miniconda installed, or install it from here.

Create a Conda environment with Python 3.10 and install the required packages using the following commands:

conda create --name myenv python=3.10
conda activate myenv
pip install -r requirements.txt

This script requires the following Python packages:

• pandas: For handling data in DataFrame format.
• deepl: For accessing the DeepL translation API.

Install the necessary packages using the following command:

pip install -r requirements.txt

The script can be run from the command line with the following arguments:

• input_file_path: The path to the CSV file containing the sentences to be translated.
• m: The starting index of the rows to be translated (inclusive).
• n: The ending index of the rows to be translated (exclusive).
• deepl_key: Your DeepL API key.
• --output_file_path (optional): The path to save the translated output CSV. Defaults to translated.csv in the current directory.

python amr_translate.py --input_file_path "path/to/your/endre.txt" --m 0 --n 10 --deepl_key "your_deepl_api_key" --output_file_path "path/to/your/output.csv

This command will translate rows 0 to 9 from the input CSV file using the provided DeepL API key and save the results to the specified output CSV file.

The output CSV file will contain the following columns:

• id: The ID of the sentence.
• sentence: The original English sentence.
• hu_sentence: The translated Hungarian sentence.

The script will also print the translated sentences to the console as they are processed.

• Ensure that your CSV file has a column named sentence containing the English sentences.
• The script handles indexing based on pandas DataFrame indexing, so ensure the indices provided are within the range of the DataFrame.