Spelling Correction Multilingual Base

🚀 Spelling Correction Model

An experimental model designed to correct typos and punctuation in English and German.

🚀 Quick Start

This is an experimental model that should fix your typos and punctuation. If you like to run your own experiments or train for a different language, take a look at the code.

✨ Features

• Correct typos and punctuation in English and German.

💻 Usage Examples

Basic Usage

from transformers import pipeline

fix_spelling_pipeline = pipeline("text2text-generation",model="oliverguhr/spelling-correction-multilingual-base")
def fix_spelling(text, max_length = 256):
    return fix_spelling_pipeline("fix:"+text,max_length = max_length)

print(fix_spelling_pipeline("can we mix the languages können wir die sprachen mischen",max_length=2048))

Additional Examples

📚 Documentation

Model description

This is a proof of concept spelling correction model for English and German.

Intended uses & limitations

This project is work in progress, be aware that the model can produce artefacts. You can test the model using the pipeline-interface as shown in the usage examples.

Metrics

• CER (Character Error Rate)

Pipeline Tag

• text2text-generation

📄 License

This project is licensed under the MIT license.