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	add ressource 'quelquhui'
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				|  | @ -1,3 +1,4 @@ | ||||||
|  | 
 | ||||||
| { | { | ||||||
|     "resources": [ |     "resources": [ | ||||||
|         { |         { | ||||||
|  | @ -4517,6 +4518,21 @@ | ||||||
|                 "website": "https://redfield.ai" |                 "website": "https://redfield.ai" | ||||||
|             }, |             }, | ||||||
|             "category": ["standalone"] |             "category": ["standalone"] | ||||||
|  |         }, | ||||||
|  |         { | ||||||
|  |             "id": "quelquhui", | ||||||
|  |             "title": "quelquhui", | ||||||
|  |             "slogan": "tokenizer for contemporary french", | ||||||
|  |             "description": "A tokenizer for french that handles inword parentheses like in _(b)rouille_, inclusive language (won't split _relecteur.rice.s_,but will split _mais.maintenant_), hyphens (split _peut-on_, or _pouvons-vous_ but not _tubulu-pimpant_), apostrophes (split _j'arrive_ or _j'arrivons_, but not _aujourd'hui_ or _r'garder_), emoticons, text-emoji (_:happy:_), urls, mails, ...", | ||||||
|  |             "github": "thjbdvlt/quelquhui", | ||||||
|  |             "code_example": ["import spacy", "import quelquhui", "nlp = spacy.load('fr_core_news_lg')", "nlp.tokenizer = quelquhui.Toquenizer(nlp.vocab)"], | ||||||
|  |             "code_language": "python", | ||||||
|  |             "author": "thjbdvlt", | ||||||
|  |             "author_links": { | ||||||
|  |                 "github": "thjbdvlt" | ||||||
|  |             }, | ||||||
|  |             "category": ["pipeline"], | ||||||
|  |             "tags": ["tokenizer", "french"] | ||||||
|         } |         } | ||||||
|     ], |     ], | ||||||
| 
 | 
 | ||||||
|  | @ -4608,3 +4624,4 @@ | ||||||
|         } |         } | ||||||
|     ] |     ] | ||||||
| } | } | ||||||
|  | 
 | ||||||
|  |  | ||||||
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