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Pronomial\n\nsimple and fast coreference solver, uses pos tags, a word gender classifier \nand lists of pronouns\n\nSupported languages: English, Portuguese, Spanish, Catalan\n\n# Install\n\n```bash\npip install pronomial\n```\n\n# Usage\n\n```python\nfrom pronomial import replace_corefs\n\nreplace_corefs(\"London has been a major settlement for two millennia. \"\n               \"It was founded by the Romans, who named it Londinium.\", \n               lang=\"en\")\n\"\"\"\n\"London has been a major settlement for two millennia . \"\n\"London was founded by the Romans , Romans named London Londinium .\"\n\"\"\"\n```\n\n## About\n\nPronomial will work fine for short sentences and should be safe to use in \nthe context of simple things, but it tends to fail horribly in complex sentences.\n\nIt you want a proper coreference resolution library I suggest you check out\n[neuralcoref](https://github.com/huggingface/neuralcoref) or [coreferee](https://github.com/msg-systems/coreferee)\n\nPronomial should not be used in production most of the\ntime, it is intended as baseline and an experiment on how well this\ntask can be solved using only simple heuristics. \n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ftigregotico%2Fpronomial","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Ftigregotico%2Fpronomial","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ftigregotico%2Fpronomial/lists"}