bert-small-finetuned-typo-detection

BERT SMALL + Typo Detection ✍❌✍✔

BERT SMALL fine-tuned on GitHub Typo Corpus for typo detection (using NER style)

Details of the downstream task (Typo detection as NER)

• Dataset: GitHub Typo Corpus 📚

• Fine-tune script on NER dataset provided by Huggingface 🏋️‍♂️

Metrics on test set 📋

Model in action 🔨

Fast usage with pipelines 🧪

from transformers import pipeline

typo_checker = pipeline(
    "ner",
    model="mrm8488/bert-small-finetuned-typo-detection",
    tokenizer="mrm8488/bert-small-finetuned-typo-detection"
)

result = typo_checker("here there is an error in coment")
result[1:-1]

# Output:
[{'entity': 'ok', 'score': 0.9021041989326477, 'word': 'here'},
 {'entity': 'ok', 'score': 0.7975626587867737, 'word': 'there'},
 {'entity': 'ok', 'score': 0.8596242070198059, 'word': 'is'},
 {'entity': 'ok', 'score': 0.7071516513824463, 'word': 'an'},
 {'entity': 'ok', 'score': 0.943381130695343, 'word': 'error'},
 {'entity': 'ok', 'score': 0.8047608733177185, 'word': 'in'},
 {'entity': 'ok', 'score': 0.8240702152252197, 'word': 'come'},
 {'entity': 'typo', 'score': 0.5004884004592896, 'word': '##nt'}]

It works🎉! we typed coment instead of comment

Let's try with another example

result = typo_checker("Adddd validation midelware")
result[1:-1]

# Output:
[{'entity': 'ok', 'score': 0.7128152847290039, 'word': 'add'},
 {'entity': 'typo', 'score': 0.5388424396514893, 'word': '##dd'},
 {'entity': 'ok', 'score': 0.94792640209198, 'word': 'validation'},
 {'entity': 'typo', 'score': 0.5839331746101379, 'word': 'mid'},
 {'entity': 'ok', 'score': 0.5195121765136719, 'word': '##el'},
 {'entity': 'ok', 'score': 0.7222476601600647, 'word': '##ware'}]

Yeah! We typed wrong Add and middleware

Created by Manuel Romero/@mrm8488

Made with <span style="color: #e25555;">♥</span> in Spain