Instructions to use iproskurina/en_grammar_checker with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use iproskurina/en_grammar_checker with spaCy:
!pip install https://huggingface.co/iproskurina/en_grammar_checker/resolve/main/en_grammar_checker-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("en_grammar_checker") # Importing as module. import en_grammar_checker nlp = en_grammar_checker.load() - Notebooks
- Google Colab
- Kaggle
Essay Grammar Checker
Essay Grammar Checker trained on Russian Error-Annotated Learner English Corpus.
Training information
The checker consists of 6 pipelines each trained on specific error types. Error Categories used for pipeline mapping:
"spelling":{"Spelling", "Capitalisation"},
"punctuation": {"Punctuation"},
"articles": {"Articles"},
"vocabulary": {"lex_item_choice", "lex_part_choice",
'Category_confusion','Formational_affixes'},
"grammar_major": {'Tense_choice','Prepositions','Agreement_errors', 'Redundant_comp'},
"grammar_minor": {'Word_order','Noun_number', 'Numerals','Verb_pattern', 'Determiners'}
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