feat: Add CharacterErrorRate (CER) metric to ignite.metrics.nlp#3785
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Shubh3005 wants to merge 4 commits into
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feat: Add CharacterErrorRate (CER) metric to ignite.metrics.nlp#3785Shubh3005 wants to merge 4 commits into
Shubh3005 wants to merge 4 commits into
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Implements CharacterErrorRate as a follow-up to PR pytorch#3638 (WER). Closes pytorch#3634 - character_error_rate.py: CER metric using character-level Levenshtein distance, inheriting from _BaseErrorRate - test_character_error_rate.py: 15 test cases covering edge cases, batch accumulation, reset, unicode, and whitespace handling Follows same structure as word_error_rate.py and bleu.py conventions.
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Hi, @Shubh3005 we really appreciate your pr, but I would still recommend you check withe owner of the other open pr if they are still working on it or not just be sure :) If not then we can move forward with your pr. |
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Thank you! I'll reach out to @Manimaran-tech on PR #3638 to check their status. Will follow up shortly. |
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Summary
Implements
CharacterErrorRate(CER) as a follow-up to #3638 (WER), resolving #3634.CER measures the edit distance at the character level — used in ASR and OCR evaluation where a single character error (e.g. misreading a financial figure) is a severe failure.
Changes
ignite/metrics/nlp/character_error_rate.py— CER metric inheriting from_BaseErrorRate, using character-level Levenshtein distancetests/ignite/metrics/nlp/test_character_error_rate.py— 15 test cases covering: identical sequences, single deletion/insertion/substitution, empty inputs, batch accumulation, multi-update accumulation, reset, single string input, whitespace as character, unicodeignite/metrics/nlp/__init__.py— exportsCharacterErrorRateDesign
Follows the same structure as
word_error_rate.pyandbleu.py:_BaseErrorRatefromword_error_rate.py_tokenizereturnslist(text)instead oftext.split()Closes #3634