String-to-String Algorithms for Natural Language Processing

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  • License: MIT License (MIT)
  • Author: Mirac Suzgun
  • Tags string matching, pattern matching, edit distance, string to string correction, string to string matching, Levenshtein edit distance, Hamming distance, Damerau-Levenshtein distance, Jaro-Winkler distance, longest common subsequence, longest common substring, dynamic programming, approximate string matching, semantic similarity, natural language processing, NLP, information retrieval, rouge, sacrebleu, bertscore, bartscore, fasttext, glove, cosine similarity, Smith-Waterman, Needleman-Wunsch, Hirschberg, Karp-Rabin, Knuth-Morris-Pratt, Boyer-Moore
  • Requires: Python >=3.7
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  • License: MIT License (MIT)
  • Author: Mirac Suzgun
  • Tags string matching, pattern matching, edit distance, string to string correction, string to string matching, Levenshtein edit distance, Hamming distance, Damerau-Levenshtein distance, Jaro-Winkler distance, longest common subsequence, longest common substring, dynamic programming, approximate string matching, semantic similarity, natural language processing, NLP, information retrieval, rouge, sacrebleu, bertscore, bartscore, fasttext, glove, cosine similarity, Smith-Waterman, Needleman-Wunsch, Hirschberg, Karp-Rabin, Knuth-Morris-Pratt, Boyer-Moore
  • Requires: Python >=3.7
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