{"id":217574,"date":"2023-08-03T12:19:55","date_gmt":"2023-08-03T15:19:55","guid":{"rendered":"https:\/\/www.trustedtranslations.com\/?post_type=blog&p=217574"},"modified":"2023-08-03T12:19:55","modified_gmt":"2023-08-03T15:19:55","slug":"tablettes-anciennes-et-traduction-ia","status":"publish","type":"blog","link":"https:\/\/www.trustedtranslations.com\/fr\/blog\/tablettes-anciennes-et-traduction-ia","title":{"rendered":"Tablettes anciennes et traduction IA"},"content":{"rendered":"

Traduire entre deux langues implique de construire avec soin des phrases qui transmettent au mieux le sens du texte source. Il ne s’agit pas de traduire mot \u00e0 mot. Il y a un certain degr\u00e9 de flexibilit\u00e9, car il s’agit de saisir les nuances de la pi\u00e8ce dans son ensemble, plut\u00f4t que d\u2019identifier la signification des parties constituantes.<\/p>\n

C’est un processus dans lequel la traduction automatique<\/a> a \u00e9t\u00e9 continuellement perfectionn\u00e9e, montrant des am\u00e9liorations progressives au fil des ans. Dans une d\u00e9monstration de la puissance de l’intelligence artificielle pour traiter les langues naturelles, des chercheurs ont r\u00e9cemment entra\u00een\u00e9 une IA pour effectuer des traductions approximatives de tablettes akkadiennes vieilles de 5\u00a0000 ans.<\/p>\n

Le d\u00e9fi des langues mortes<\/h2>\n

C’est particuli\u00e8rement impressionnant, car les d\u00e9fis de la traduction se multiplient lorsqu’il s’agit de traduire une langue disparue depuis des mill\u00e9naires. C’est le cas de la langue des Akkadiens, une langue s\u00e9mitique sans langues filles (langues d\u00e9riv\u00e9es ou descendantes). Ces langues valent la peine d’\u00eatre \u00e9tudi\u00e9es, m\u00eame lorsque le but est uniquement de mieux comprendre la vie, la politique et les croyances des soci\u00e9t\u00e9s anciennes. Une entreprise qui illumine notre propre place historique dans le monde.<\/p>\n

Des estimations prudentes<\/a><\/u> reconnaissent l’akkadien dans des centaines de milliers de textes d\u00e9couverts par des arch\u00e9ologues. Beaucoup ont d\u00e9j\u00e0 \u00e9t\u00e9 num\u00e9ris\u00e9s. Cependant, seule une poign\u00e9e d’\u00e9rudits peuvent d\u00e9chiffrer une partie de ces textes. Leur compr\u00e9hension de ces textes est fragment\u00e9e. Une grande partie du contexte est perdue \u00e0 cause des effets d\u00e9gradants du temps, bien que les tablettes soient faites d’argile, qui se conserve mieux \u00e0 travers les si\u00e8cles que d’autres mat\u00e9riaux, comme le papyrus.<\/p>\n

C’est ce nature fragmentaire qui ajoute \u00e0 la complexit\u00e9 de la traduction, aggrav\u00e9e par le manque g\u00e9n\u00e9ral d’experts dans ces langues. Malheureusement, le temps et la main-d’\u0153uvre n\u00e9cessaires vont \u00e0 l’encontre de l’effort de traduction de ces documents.<\/p>\n

Traducteurs IA<\/h2>\n

Pour aider \u00e0 all\u00e9ger ces difficult\u00e9s, une \u00e9quipe d\u2019arch\u00e9ologues et d\u2019informaticiens ont d\u00e9velopp\u00e9 une IA pour traduire l\u2019akkadien. Elle fonctionne instantan\u00e9ment, gr\u00e2ce \u00e0 un mod\u00e8le de traduction automatique neuronale (NMT)<\/a> con\u00e7u pour traiter cette langue.<\/p>\n

L\u2019akkadien est ce que l\u2019on appelle une langue polyvalente, c\u2019est-\u00e0-dire que le sens des symboles varie selon leur fonction syntactique. Par cons\u00e9quent, les traducteurs doivent adopter un processus en deux \u00e9tapes. Premi\u00e8rement, ils prennent le texte source et le r\u00e9\u00e9crivent dans le syst\u00e8me phon\u00e9tique de la langue cible. Ce processus est connu sous le nom de translitt\u00e9ration. Autrement dit, ils reconstruisent les mots en utilisant les lettres de l’alphabet latin qui correspondent le mieux aux phon\u00e8mes de la langue source. Un exemple courant de ce processus est le mot arabe<\/a> \u0627\u0644\u0644\u0647, qui est \u00e9crit en lettres latines comme \u00ab\u00a0Allah\u00a0\u00bb. Une fois cela fait, ils traduisent le nouveau texte dans la langue cible.<\/p>\n

Dans cet esprit, la NMT a \u00e9t\u00e9 entra\u00een\u00e9 pour traiter \u00e0 la fois le cun\u00e9iforme et sa translitt\u00e9ration. En utilisant un algorithme con\u00e7u pour \u00e9valuer les textes traduits automatiquement, connu sous le nom de Bilingual Evaluation Understudy 4 (BLEU4), le mod\u00e8le a obtenu un score de 37,47 et 36,52, respectivement. Chacun, dans les tol\u00e9rances acceptables pour une traduction de haute qualit\u00e9.<\/p>\n

La NMT manque d’un certain nombre de fonctions. Elle a du mal \u00e0 traiter de longues phrases et se perd plus facilement lors du traitement du langage litt\u00e9raire ou soutenu que lors du traitement de textes formels ou protocolaires, tels que les d\u00e9crets et les registres. Mis \u00e0 part les d\u00e9fauts, la NMT est capable de reconna\u00eetre avec pr\u00e9cision des genres sp\u00e9cifiques, ce qui permet de gagner du temps.<\/p>\n

Dans certains cas, le mod\u00e8le a invent\u00e9 des r\u00e9sultats qui n’avaient apparemment rien \u00e0 voir avec le texte source. Les chercheurs appellent ce ph\u00e9nom\u00e8ne les hallucinations de l’IA.<\/p>\n

Un effort collaboratif<\/h2>\n

Qu’arrive-t-il alors aux traducteurs\u00a0? La technologie sert principalement \u00e0 faciliter une traduction rapide et pr\u00e9cise. Mais la majeure partie du travail est toujours effectu\u00e9e par un traducteur humain<\/a> : m\u00eame si la traduction franchit le seuil des traductions acceptables, elle doit \u00eatre revue, \u00e9dit\u00e9e et m\u00eame refaite. Ces travaux, pour l’instant, sont mieux faits par un humain.<\/p>\n

Actuellement, le mod\u00e8le NMT est accessible via Internet et le code source est disponible sur GitHub, sous le nom de projet Akkademia. Cette technologie est accessible \u00e0 tous. En travaillant de cette mani\u00e8re, avec des chercheurs utilisant de tels mod\u00e8les NMT, la traduction du monde antique devient beaucoup plus facile et plus accessible.<\/p>\n

Pourtant, lorsqu’il s’agit de langues modernes avec des millions de locuteurs, des services tels que ceux offerts par Trusted Translations<\/em><\/em>, qui emploie des traducteurs et des linguistes professionnels du monde entier, contribueront grandement \u00e0 r\u00e9pondre et \u00e0 d\u00e9passer vos besoins de traduction professionnelle.<\/p>\n

Photo de Bilge \u015eeyma K\u00fct\u00fcko\u011flu chez pexels.com<\/p>\n","protected":false},"excerpt":{"rendered":"Traduire entre deux langues implique de construire avec soin des phrases qui transmettent au mieux le sens du texte source. Il ne s\u2019agit pas de traduire mot \u00e0 mot. 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