{"id":847,"date":"2025-01-31T13:59:00","date_gmt":"2025-01-01T09:00:00","guid":{"rendered":"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/g\/definition_generation-de-langage-naturel-nlg\/"},"modified":"2025-06-06T00:08:15","modified_gmt":"2025-06-05T22:08:15","slug":"definition-generation-de-langage-naturel-nlg","status":"publish","type":"post","link":"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/g\/definition-generation-de-langage-naturel-nlg\/","title":{"rendered":"G\u00e9n\u00e9ration de langage naturel"},"content":{"rendered":"<p>La g\u00e9n\u00e9ration de langage naturel (NLG) est un domaine cl\u00e9 de l&rsquo;intelligence artificielle (IA) \u00e9troitement li\u00e9 au prompt engineering. Qu\u2019est-ce que la g\u00e9n\u00e9ration de langage naturel (NLG)\u00a0? C&rsquo;est le processus par lequel un ordinateur transforme des donn\u00e9es structur\u00e9es en texte humain clair et compr\u00e9hensible.<\/p>\n<h3>Comment fonctionne la g\u00e9n\u00e9ration de langage naturel (NLG)\u00a0?<\/h3>\n<p>La NLG prend des donn\u00e9es, souvent sous forme de nombres, de tableaux ou de bases de donn\u00e9es, et les traduit en phrases et paragraphes lisibles. Imaginez un chef cuisinier qui transforme des ingr\u00e9dients bruts (les donn\u00e9es) en un plat savoureux (le texte). La NLG utilise des algorithmes complexes pour choisir les bons mots, construire des phrases grammaticalement correctes et organiser le texte de mani\u00e8re coh\u00e9rente. Elle peut adapter le style et le ton du texte en fonction du contexte et de l&rsquo;audience cible.<\/p>\n<h3>Pourquoi la g\u00e9n\u00e9ration de langage naturel (NLG) est-elle importante\u00a0?<\/h3>\n<p>La NLG joue un r\u00f4le crucial dans de nombreuses applications. En prompt engineering, elle permet de cr\u00e9er des r\u00e9ponses automatis\u00e9es plus naturelles et personnalis\u00e9es. Par exemple, les chatbots peuvent utiliser la NLG pour fournir des r\u00e9ponses plus humaines et engageantes aux questions des utilisateurs. Dans le domaine du journalisme, la NLG peut g\u00e9n\u00e9rer des rapports financiers ou sportifs \u00e0 partir de donn\u00e9es brutes, lib\u00e9rant ainsi du temps aux journalistes pour des t\u00e2ches plus complexes. L&rsquo;automatisation de la cr\u00e9ation de contenu marketing, la r\u00e9daction de descriptions de produits ou la g\u00e9n\u00e9ration de rapports m\u00e9dicaux sont d&rsquo;autres exemples de l&rsquo;importance de la NLG.<\/p>\n<h3>Termes associ\u00e9s<\/h3>\n<ul id=\"TermesAssocies\">\n<li><a href=\"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/?s=Traitement+du+langage+naturel+%28NLP%29\">Traitement du langage naturel (NLP)<\/a><\/li>\n<li><a href=\"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/?s=Apprentissage+automatique+%28Machine+Learning%29\">Apprentissage automatique (Machine Learning)<\/a><\/li>\n<li><a href=\"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/?s=Prompt+Engineering\">Prompt Engineering<\/a><\/li>\n<li><a href=\"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/?s=Chatbots\">Chatbots<\/a><\/li>\n<li><a href=\"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/?s=R%C3%A9seaux+de+neurones\">R\u00e9seaux de neurones<\/a><\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>La g\u00e9n\u00e9ration de langage naturel (NLG) est un domaine cl\u00e9 de l&rsquo;intelligence artificielle (IA) \u00e9troitement li\u00e9 au prompt engineering. Qu\u2019est-ce que la g\u00e9n\u00e9ration de langage naturel (NLG)\u00a0? C&rsquo;est le processus par lequel un ordinateur transforme des donn\u00e9es structur\u00e9es en texte humain clair et compr\u00e9hensible. Comment fonctionne la g\u00e9n\u00e9ration de langage naturel (NLG)\u00a0? La NLG prend [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_uag_custom_page_level_css":"","site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"footnotes":""},"categories":[68],"tags":[16,468,375,12,97,53],"class_list":["post-847","post","type-post","status-publish","format-standard","hentry","category-g","tag-apprentissage-automatique-machine-learning","tag-chatbots","tag-generation-de-langage-naturel-nlg","tag-prompt-engineering","tag-reseaux-de-neurones","tag-traitement-du-langage-naturel-nlp"],"uagb_featured_image_src":{"full":false,"thumbnail":false,"medium":false,"medium_large":false,"large":false,"1536x1536":false,"2048x2048":false},"uagb_author_info":{"display_name":"bruno.peaumier@gmail.com","author_link":"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/author\/bruno-peaumiergmail-com\/"},"uagb_comment_info":0,"uagb_excerpt":"La g\u00e9n\u00e9ration de langage naturel (NLG) est un domaine cl\u00e9 de l&rsquo;intelligence artificielle (IA) \u00e9troitement li\u00e9 au prompt engineering. Qu\u2019est-ce que la g\u00e9n\u00e9ration de langage naturel (NLG)\u00a0? C&rsquo;est le processus par lequel un ordinateur transforme des donn\u00e9es structur\u00e9es en texte humain clair et compr\u00e9hensible. Comment fonctionne la g\u00e9n\u00e9ration de langage naturel (NLG)\u00a0? La NLG prend\u2026","_links":{"self":[{"href":"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/wp-json\/wp\/v2\/posts\/847","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/wp-json\/wp\/v2\/comments?post=847"}],"version-history":[{"count":2,"href":"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/wp-json\/wp\/v2\/posts\/847\/revisions"}],"predecessor-version":[{"id":1104,"href":"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/wp-json\/wp\/v2\/posts\/847\/revisions\/1104"}],"wp:attachment":[{"href":"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/wp-json\/wp\/v2\/media?parent=847"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/wp-json\/wp\/v2\/categories?post=847"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/wp-json\/wp\/v2\/tags?post=847"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}