. . . "\u0641\u0643 \u0627\u0644\u0644\u0628\u0633 \u0627\u0644\u062F\u0644\u0627\u0644\u064A (Word Sense Disambiguation) \u0647\u0648 \u0639\u0645\u0644\u064A\u0629 \u0627\u062E\u062A\u064A\u0627\u0631 \u0627\u0644\u0645\u0639\u0646\u0649 \u0627\u0644\u0645\u0646\u0627\u0633\u0628 \u0644\u0643\u0644 \u0643\u0644\u0645\u0629 \u0645\u0646 \u0643\u0644\u0645\u0627\u062A \u0627\u0644\u062C\u0645\u0644\u0629 \u0639\u0644\u0649 \u0623\u0633\u0627\u0633 \u0627\u0644\u0633\u064A\u0627\u0642 (Context). \u0641\u0645\u062B\u0644\u0627\u064B \u0643\u0644\u0645\u0629 \u00AB\u0645\u0635\u0631\u0641\u00BB \u0642\u062F \u062A\u0623\u062A\u064A \u0628\u0645\u0639\u0646\u0649 \u00AB\u0645\u0643\u0627\u0646 \u0622\u0645\u0646 \u0644\u062D\u0641\u0638 \u0627\u0644\u0623\u0645\u0648\u0627\u0644\u00BB \u0648\u0642\u062F \u062A\u0623\u062A\u064A \u0628\u0645\u0639\u0646\u0649 \u0622\u062E\u0631 \u00AB\u0645\u062C\u0631\u0649 \u0644\u0635\u0631\u0641 \u0627\u0644\u0645\u064A\u0627\u0647\u00BB \u0648\u064A\u062A\u0645\u0643\u0646 \u0627\u0644\u0642\u0627\u0631\u0626 \u00AB\u0627\u0644\u0628\u0634\u0631\u064A\u00BB \u0645\u0646 \u062A\u062D\u062F\u064A\u062F \u0627\u0644\u0645\u0639\u0646\u0649 \u0627\u0644\u0645\u0631\u0627\u062F \u0639\u0646\u062F \u0642\u0631\u0627\u0621\u0629 \u0627\u0644\u0643\u0644\u0645\u0629 \u0648\u0641\u0642\u064B\u0627 \u0644\u0644\u0633\u064A\u0627\u0642 \u0627\u0644\u0630\u064A \u0648\u0631\u062F\u062A \u0641\u064A\u0647 \u0648\u0630\u0644\u0643 \u0628\u0627\u0633\u062A\u0639\u0627\u0646\u062A\u0647 \u0628\u0630\u0643\u0627\u0626\u0647 \u0627\u0644\u0628\u0634\u0631\u064A \u0648\u0642\u062F\u0631\u062A\u0647 \u0627\u0644\u0644\u063A\u0648\u064A\u0629 \u0648\u0645\u0639\u0644\u0648\u0645\u0627\u062A\u0647 \u0627\u0644\u0645\u0639\u0631\u0641\u064A\u0629. \u0623\u0645\u0627 \u0627\u0644\u062D\u0627\u0633\u0648\u0628 \u0641\u0639\u0644\u064A\u0647 \u0627\u0644\u0642\u064A\u0627\u0645 \u0628\u0627\u0644\u0639\u062F\u064A\u062F \u0645\u0646 \u0627\u0644\u0639\u0645\u0644\u064A\u0627\u062A \u0627\u0644\u062D\u0627\u0633\u0648\u0628\u064A\u0629 \u062D\u062A\u0649 \u064A\u062A\u0645\u0643\u0646 \u0645\u0646 \u0641\u0647\u0645 \u0627\u0644\u062C\u0645\u0644\u0629 \u0622\u0644\u064A\u064B\u0651\u0627 \u0648\u0628\u0627\u0644\u062A\u0627\u0644\u064A \u062A\u062D\u062F\u064A\u062F \u0627\u0644\u0645\u0639\u0646\u0649 \u0627\u0644\u0645\u0646\u0627\u0633\u0628 \u0648\u0641\u0642\u064B\u0627 \u0644\u0641\u0647\u0645\u0647. \u0648\u0647\u0630\u0627 \u0627\u0644\u062A\u0642\u0644\u064A\u0635 \u0645\u0646 \u062D\u062C\u0645 \u0627\u0644\u0644\u0628\u0633 \u0627\u0644\u062F\u0644\u0627\u0644\u064A \u0627\u0644\u0645\u0648\u062C\u0647 \u0644\u0645\u062D\u0631\u0643\u0627\u062A \u0627\u0644\u0645\u0639\u0627\u0644\u062C\u0629 \u0627\u0644\u0644\u063A\u0648\u064A\u0629 \u0627\u0644\u062A\u0627\u0644\u064A\u0629 \u064A\u0624\u062F\u064A \u0625\u0644\u0649:"@ar . . "67065"^^ . . . . . . . . "En el \u00E1mbito de la ling\u00FC\u00EDstica computacional, la desambiguaci\u00F3n del significado de las palabras es un problema abierto de procesamiento del lenguaje natural, que incluye el proceso de identificar con qu\u00E9 sentido se usa una palabra en los t\u00E9rminos de una oraci\u00F3n, o cuando la palabra en cuesti\u00F3n tiene polisemia, es decir, una pluralidad de significados. La soluci\u00F3n de este problema afecta a otras tareas de la ling\u00FC\u00EDstica computacional, tales como el discurso, la mejora de la relevancia en los motores de b\u00FAsqueda, la resoluci\u00F3n de referencia, la coherencia textual (ling\u00FC\u00EDstica), la inferencia, y otros."@es . . "Hizkuntzalaritza konputazionalean, hitzen adiera-desanbiguazioa (ingelesez Word sense disambiguation edo WSD) perpaus jakin batean hitz polisemiko batek duen adiera antzematean datzan prozesua da. Esate baterako, hori hitzak adiera ezberdinak izan ditzake testu-inguruaren arabera, hauek tartean: 1. \n* erak. Entzuten ari denaren inguruko pertsonei eta gauzei ezartzen zaien erakuslea (izenordain gisa ere erabil daiteke). (Harluxet) 2. \n* iz. Argi zuriaren espektroko hirugarren kolorea, laranjaren eta berdearen artekoa. (Harluxet) Eta adibide bezala honako perpaus hauek eman daitezke: 1. \n* Giltza honek horko ate hori irekitzen du. 2. \n* Galtza hori batzuk erosi ditut. Hizkuntza ezagutzen duen gizaki batentzako erraza da lehen esaldiko hori hitza 1. adierari, eta bigarren esaldikoa 2.ari dagokiola antzematea. Era automatikoan funtzinatuko duen algoritmo baten bitartez egitea, ordea, lan zaila da."@eu . . . . . "D\u00E9sambigu\u00EFsation lexicale"@fr . . . . . . . . "\u0641\u0643 \u0627\u0644\u062A\u0628\u0627\u0633 \u062F\u0644\u0627\u0644\u0629 \u0627\u0644\u0643\u0644\u0645\u0629"@ar . . . . . . . "Na lingu\u00EDstica, desambigua\u00E7\u00E3o se refere ao processo de explica\u00E7\u00E3o \u00E0 mensagem que possui mais de um sentido. Um termo amb\u00EDguo \u00E9, ent\u00E3o, aquele que traz uma mensagem ou instru\u00E7\u00E3o confusa e que pode ser interpretado de mais de uma maneira. A desambigua\u00E7\u00E3o \u00E9 utilizada tanto na escrita quanto na fala, na l\u00EDngua de sinais, e at\u00E9 em sistemas informatizados \u2014 quando dois objetos (ou a\u00E7\u00F5es, ou adjetivos, incluindo termos concretos e abstratos) possuem o mesmo nome."@pt . . . . . . "La disambiguazione (in inglese Word Sense Disambiguation o, abbreviato, WSD) \u00E8 il processo con il quale si precisa il significato di una parola o di un insieme di parole (frase), che denota significati diversi a seconda dei contesti, per evitare che sia ambigua. Il problema della disambiguazione, mediante appositi algoritmi, riveste particolare importanza nelle ricerche sull'intelligenza artificiale e, in particolare, sull'elaborazione del linguaggio naturale. Specificamente, si prevedono benefici della disambiguazione in programmi di traduzione automatica, recupero dell'informazione, estrazione automatica di informazioni, ecc. I due esempi seguenti riguardano significati distinti della parola rombo: 1. \n* Ho acquistato un rombo fresco al mercato 2. \n* Il rombo ha quattro lati della stessa lunghezza Sebbene per un essere umano sia ovvio che la prima frase si riferisce al significato di pesce e la seconda a quello di figura geometrica, sviluppare algoritmi per replicare questa capacit\u00E0 umana \u00E8 tipicamente difficile."@it . "Disambiguierung"@de . . . . . . . . . . . . . . . . . . "La disambiguazione (in inglese Word Sense Disambiguation o, abbreviato, WSD) \u00E8 il processo con il quale si precisa il significato di una parola o di un insieme di parole (frase), che denota significati diversi a seconda dei contesti, per evitare che sia ambigua. I due esempi seguenti riguardano significati distinti della parola rombo: 1. \n* Ho acquistato un rombo fresco al mercato 2. \n* Il rombo ha quattro lati della stessa lunghezza"@it . . . . . . . . . . . . . . . "\u0641\u0643 \u0627\u0644\u0644\u0628\u0633 \u0627\u0644\u062F\u0644\u0627\u0644\u064A (Word Sense Disambiguation) \u0647\u0648 \u0639\u0645\u0644\u064A\u0629 \u0627\u062E\u062A\u064A\u0627\u0631 \u0627\u0644\u0645\u0639\u0646\u0649 \u0627\u0644\u0645\u0646\u0627\u0633\u0628 \u0644\u0643\u0644 \u0643\u0644\u0645\u0629 \u0645\u0646 \u0643\u0644\u0645\u0627\u062A \u0627\u0644\u062C\u0645\u0644\u0629 \u0639\u0644\u0649 \u0623\u0633\u0627\u0633 \u0627\u0644\u0633\u064A\u0627\u0642 (Context). \u0641\u0645\u062B\u0644\u0627\u064B \u0643\u0644\u0645\u0629 \u00AB\u0645\u0635\u0631\u0641\u00BB \u0642\u062F \u062A\u0623\u062A\u064A \u0628\u0645\u0639\u0646\u0649 \u00AB\u0645\u0643\u0627\u0646 \u0622\u0645\u0646 \u0644\u062D\u0641\u0638 \u0627\u0644\u0623\u0645\u0648\u0627\u0644\u00BB \u0648\u0642\u062F \u062A\u0623\u062A\u064A \u0628\u0645\u0639\u0646\u0649 \u0622\u062E\u0631 \u00AB\u0645\u062C\u0631\u0649 \u0644\u0635\u0631\u0641 \u0627\u0644\u0645\u064A\u0627\u0647\u00BB \u0648\u064A\u062A\u0645\u0643\u0646 \u0627\u0644\u0642\u0627\u0631\u0626 \u00AB\u0627\u0644\u0628\u0634\u0631\u064A\u00BB \u0645\u0646 \u062A\u062D\u062F\u064A\u062F \u0627\u0644\u0645\u0639\u0646\u0649 \u0627\u0644\u0645\u0631\u0627\u062F \u0639\u0646\u062F \u0642\u0631\u0627\u0621\u0629 \u0627\u0644\u0643\u0644\u0645\u0629 \u0648\u0641\u0642\u064B\u0627 \u0644\u0644\u0633\u064A\u0627\u0642 \u0627\u0644\u0630\u064A \u0648\u0631\u062F\u062A \u0641\u064A\u0647 \u0648\u0630\u0644\u0643 \u0628\u0627\u0633\u062A\u0639\u0627\u0646\u062A\u0647 \u0628\u0630\u0643\u0627\u0626\u0647 \u0627\u0644\u0628\u0634\u0631\u064A \u0648\u0642\u062F\u0631\u062A\u0647 \u0627\u0644\u0644\u063A\u0648\u064A\u0629 \u0648\u0645\u0639\u0644\u0648\u0645\u0627\u062A\u0647 \u0627\u0644\u0645\u0639\u0631\u0641\u064A\u0629. \u0623\u0645\u0627 \u0627\u0644\u062D\u0627\u0633\u0648\u0628 \u0641\u0639\u0644\u064A\u0647 \u0627\u0644\u0642\u064A\u0627\u0645 \u0628\u0627\u0644\u0639\u062F\u064A\u062F \u0645\u0646 \u0627\u0644\u0639\u0645\u0644\u064A\u0627\u062A \u0627\u0644\u062D\u0627\u0633\u0648\u0628\u064A\u0629 \u062D\u062A\u0649 \u064A\u062A\u0645\u0643\u0646 \u0645\u0646 \u0641\u0647\u0645 \u0627\u0644\u062C\u0645\u0644\u0629 \u0622\u0644\u064A\u064B\u0651\u0627 \u0648\u0628\u0627\u0644\u062A\u0627\u0644\u064A \u062A\u062D\u062F\u064A\u062F \u0627\u0644\u0645\u0639\u0646\u0649 \u0627\u0644\u0645\u0646\u0627\u0633\u0628 \u0648\u0641\u0642\u064B\u0627 \u0644\u0641\u0647\u0645\u0647. \u0648\u062A\u0639\u062A\u0628\u0631 \u062F\u0642\u0629 \u0627\u0644\u062A\u0639\u0631\u0641 \u0639\u0644\u0649 \u0627\u0644\u0645\u0639\u0646\u0649 \u0627\u0644\u0645\u0646\u0627\u0633\u0628 \u0641\u064A \u063A\u0627\u064A\u0629 \u0627\u0644\u0623\u0647\u0645\u064A\u0629 \u0623\u062B\u0646\u0627\u0621 \u0627\u0644\u0645\u0639\u0627\u0644\u062C\u0629 \u0627\u0644\u0622\u0644\u064A\u0629 \u0644\u0644\u063A\u0629 \u0648\u062E\u0627\u0635\u0629 \u0641\u064A \u0645\u062C\u0627\u0644 \u0627\u0644\u062A\u0631\u062C\u0645\u0629 \u0627\u0644\u0622\u0644\u064A\u0629 \u0641\u0645\u062B\u0644\u0627\u064B \u0643\u0644\u0645\u0629 \u00AB\u0645\u0635\u0631\u0641\u00BB \u0633\u062A\u0624\u062F\u064A \u0625\u0644\u0649 \u062A\u0631\u062C\u0645\u0629 \u0645\u062E\u062A\u0644\u0641\u0629 (Bank) \u0623\u0648 (Drain) \u0648\u0641\u0642\u064B\u0627 \u0644\u0644\u0627\u062E\u062A\u064A\u0627\u0631 \u0627\u0644\u0630\u064A \u062A\u0648\u0635\u0644 \u0625\u0644\u064A\u0647 \u0646\u0638\u0627\u0645 \u0627\u0644\u062A\u0631\u062C\u0645\u0629 \u0627\u0644\u0622\u0644\u064A\u0629. \u0648\u0645\u0646 \u062E\u0644\u0627\u0644 \u062A\u062D\u062F\u064A\u062F \u0648\u062A\u0631\u062A\u064A\u0628 \u0627\u0644\u0645\u0648\u0627\u0636\u064A\u0639 (Themes) \u0627\u0644\u0645\u062D\u062A\u0645\u0644\u0629 \u0627\u0644\u062A\u064A \u062A\u062F\u0648\u0631 \u062D\u0648\u0644\u0647\u0627 \u062C\u0645\u0644\u0629 \u0645\u0627 \u0628\u0637\u0631\u064A\u0642\u0629 \u0622\u0644\u064A\u0629\u060C \u064A\u062A\u0645 \u0641\u0643 \u0627\u0644\u0644\u0628\u0633 \u0627\u0644\u062F\u0644\u0627\u0644\u064A \u0644\u0644\u0643\u0644\u0645\u0627\u062A \u0627\u0644\u0645\u0648\u0636\u0648\u0639\u064A\u0629. \u0648\u064A\u062A\u0645 \u062A\u062D\u062F\u064A\u062F \u0645\u062C\u0645\u0648\u0639\u0629 \u0627\u0644\u0645\u062C\u0627\u0644\u0627\u062A \u0627\u0644\u0645\u062E\u062A\u0644\u0641\u0629 \u0644\u0644\u062C\u0645\u0644\u0629 \u0645\u0646 \u062E\u0644\u0627\u0644 \u0645\u0639\u0644\u0648\u0645\u0627\u062A \u0645\u0648\u0636\u0648\u0639\u064A\u0629 (Thematic Information) \u0645\u0631\u062A\u0628\u0637\u0629 \u0628\u0645\u0639\u0627\u0646\u064A \u0627\u0644\u0643\u0644\u0645\u0627\u062A \u0628\u0627\u0644\u0625\u0636\u0627\u0641\u0629 \u0625\u0644\u0649 \u0642\u0648\u0627\u0639\u062F \u0645\u0639\u0631\u0641\u064A\u0629 (Knowledge Base). \u0641\u0645\u062B\u0644\u0627\u064B \u0648\u0631\u0648\u062F \u0627\u0633\u0645 \u00AB\u0634\u0627\u0631\u0644\u064A 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\u0639\u0645\u0644\u064A\u0629 \u0627\u0644\u062A\u062D\u0644\u064A\u0644 \u0627\u0644\u0622\u0644\u064A. \u0648\u064A\u062A\u0645 \u0627\u0633\u062A\u062E\u062F\u0627\u0645 \u0647\u0630\u0647 \u0627\u0644\u0637\u0631\u064A\u0642\u0629 \u0627\u0644\u0645\u0628\u062A\u0643\u0631\u0629 \u0641\u064A \u0627\u0644\u0639\u062F\u064A\u062F \u0645\u0646 \u0623\u0646\u0638\u0645\u0629 \u0627\u0644\u0645\u0639\u0627\u0644\u062C\u0629 \u0627\u0644\u0622\u0644\u064A\u0629 \u0644\u0644\u063A\u0629 \u0627\u0644\u0639\u0631\u0628\u064A\u0629 \u0648\u0639\u0644\u0649 \u0631\u0623\u0633\u0647\u0627 \u0627\u0644\u062A\u0631\u062C\u0645\u0629 \u0627\u0644\u0622\u0644\u064A\u0629"@ar . . "La d\u00E9sambigu\u00EFsation lexicale ou d\u00E9sambig\u00FCisation lexicale est la d\u00E9termination du sens d'un mot dans une phrase lorsque ce mot peut avoir plusieurs sens possibles. Dans la linguistique informatique, la d\u00E9sambigu\u00EFsation lexicale est un probl\u00E8me non r\u00E9solu dans le traitement des langues naturelles et de l'ontologie informatique. La r\u00E9solution de ce probl\u00E8me permettrait des avanc\u00E9es importantes dans d'autres champs de la linguistique informatique comme l'analyse du discours, l'am\u00E9lioration de la pertinence des r\u00E9sultats des moteurs de recherche, la r\u00E9solution des anaphores, la coh\u00E9rence, l'inf\u00E9rence, etc."@fr . . . 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\u043D\u0430 \u043E\u0441\u043D\u043E\u0432\u0435 \u0441\u043C\u044B\u0441\u043B\u0430. \u0421\u0440\u0435\u0434\u0438 \u043F\u0435\u0440\u0435\u0447\u0438\u0441\u043B\u0435\u043D\u043D\u044B\u0445, \u043D\u0430 \u0441\u0435\u0433\u043E\u0434\u043D\u044F\u0448\u043D\u0438\u0439 \u0434\u0435\u043D\u044C, \u043C\u0435\u0442\u043E\u0434\u044B \u043E\u0431\u0443\u0447\u0435\u043D\u0438\u044F \u0441 \u0443\u0447\u0438\u0442\u0435\u043B\u0435\u043C \u043F\u043E\u043A\u0430\u0437\u0430\u043B\u0438 \u043D\u0430\u0438\u043B\u0443\u0447\u0448\u0443\u044E \u044D\u0444\u0444\u0435\u043A\u0442\u0438\u0432\u043D\u043E\u0441\u0442\u044C. \u041E\u0434\u043D\u0430\u043A\u043E, \u043E\u0431\u044A\u0435\u043A\u0442\u0438\u0432\u043D\u043E\u0435 \u0441\u0440\u0430\u0432\u043D\u0435\u043D\u0438\u0435 \u0438 \u043E\u0446\u0435\u043D\u043A\u0430 \u043C\u0435\u0442\u043E\u0434\u043E\u0432 \u044F\u0432\u043B\u044F\u0435\u0442\u0441\u044F \u0441\u043B\u043E\u0436\u043D\u044B\u043C \u043F\u0440\u043E\u0446\u0435\u0441\u0441\u043E\u043C, \u0437\u0430\u0432\u0438\u0441\u044F\u0449\u0438\u043C \u043E\u0442 \u043C\u043D\u043E\u0433\u0438\u0445 \u0444\u0430\u043A\u0442\u043E\u0440\u043E\u0432. \u0414\u043B\u044F \u043E\u0431\u043E\u0431\u0449\u0451\u043D\u043D\u044B\u0445 \u0441\u0438\u0441\u0442\u0435\u043C \u0441\u043B\u043E\u0432\u0430\u0440\u043D\u044B\u0445 \u0437\u043D\u0430\u043D\u0438\u0439 (\u0434\u043B\u044F \u0430\u043D\u0433\u043B\u0438\u0439\u0441\u043A\u043E\u0433\u043E \u044F\u0437\u044B\u043A\u0430) \u044D\u0444\u0444\u0435\u043A\u0442\u0438\u0432\u043D\u043E\u0441\u0442\u044C \u0440\u0435\u0433\u0443\u043B\u044F\u0440\u043D\u043E \u043F\u0440\u0435\u0432\u044B\u0448\u0430\u0435\u0442 \u043F\u043B\u0430\u043D\u043A\u0443 \u0432 90 %, \u0438\u043D\u043E\u0433\u0434\u0430 \u0434\u043E\u0441\u0442\u0438\u0433\u0430\u044F \u0434\u0430\u0436\u0435 96 %. \u0414\u043B\u044F \u0431\u043E\u043B\u0435\u0435 \u0434\u0438\u0444\u0444\u0435\u0440\u0435\u043D\u0446\u0438\u0440\u043E\u0432\u0430\u043D\u043D\u044B\u0445 \u0441\u043B\u043E\u0432\u0430\u0440\u043D\u044B\u0445 \u0441\u0438\u0441\u0442\u0435\u043C \u044D\u0444\u0444\u0435\u043A\u0442\u0438\u0432\u043D\u043E\u0441\u0442\u044C \u043D\u0430\u0445\u043E\u0434\u044F\u0442\u0441\u044F \u0432 \u043F\u0440\u0435\u0434\u0435\u043B\u0435 59 %-69 %."@ru . . . . "Dalam linguistik komputasi, disambiguasi makna atau pengawataksaan makna (bahasa Inggris: word sense disambiguation (WSD)) adalah masalah terbuka pemrosesan bahasa alami berupa proses identifikasi makna kata polisemi yang digunakan pada suatu kalimat. Penyelesaian masalah ini antara lain berdampak terhadap relevansi mesin pencari, pemecahan anafora, koherensi atau kepaduan, serta atau penyimpulan. Teknik-teknik yang dapat diterapkan antara lain adalah: Dari berbagai metode ini, metode adalah algoritme yang paling berhasil sampai saat ini."@in . . "\u0420\u0430\u0437\u0440\u0435\u0448\u0435\u043D\u0438\u0435 \u043B\u0435\u043A\u0441\u0438\u0447\u0435\u0441\u043A\u043E\u0439 \u043C\u043D\u043E\u0433\u043E\u0437\u043D\u0430\u0447\u043D\u043E\u0441\u0442\u0438"@ru . . . . . . "\u8BA1\u7B97\u673A\u8BED\u8A00\u5B66\u4E2D\uFF0C\u8BCD\u4E49\u6D88\u6B67\u662F\u4E00\u4E2A \u81EA\u7136\u8BED\u8A00\u5904\u7406\u548C\u672C\u4F53\u8BBA\u7684\u5F00\u653E\u95EE\u9898\u3002\u6B67\u4E49\u4E0E\u6D88\u6B67\u662F\u81EA\u7136\u8BED\u8A00\u7406\u89E3\u4E2D\u6700\u6838\u5FC3\u7684\u95EE\u9898\uFF0C\u5728\u8BCD\u4E49\u3001\u53E5\u4E49\u3001\u7BC7\u7AE0\u542B\u4E49\u5C42\u6B21\u90FD\u4F1A\u51FA\u73B0\u8BED\u8A00\u6839\u636E\u4E0A\u4E0B\u6587\u8BED\u4E49\u4E0D\u540C\u7684\u73B0\u8C61\uFF0C\u6D88\u6B67\u5373\u6307\u6839\u636E\u4E0A\u4E0B\u6587\u786E\u5B9A\u5BF9\u8C61\u8BED\u4E49\u7684\u8FC7\u7A0B\u3002\u8BCD\u4E49\u6D88\u6B67\u5373\u5728\u8BCD\u8BED\u5C42\u6B21\u4E0A\u7684\u8BED\u4E49\u6D88\u6B67\u3002\u8BED\u4E49\u6D88\u6B67/\u8BCD\u4E49\u6D88\u6B67 \u662F\u81EA\u7136\u8BED\u8A00\u5904\u7406\u4EFB\u52A1\u7684\u4E00\u4E2A\u6838\u5FC3\u4E0E\u96BE\u70B9\uFF0C\u5F71\u54CD\u4E86\u51E0\u4E4E\u6240\u6709\u4EFB\u52A1\u7684\u6027\u80FD\uFF0C\u6BD4\u5982\u641C\u7D22\u5F15\u64CE\u3001\u610F\u89C1\u6316\u6398\u3001\u6587\u672C\u7406\u89E3\u4E0E\u4EA7\u751F\u3001\u63A8\u7406\u7B49\u3002 \u5728\u8BED\u8A00\u5B66\u957F\u671F\u53D1\u5C55\u7684\u8FC7\u7A0B\u4E2D\uFF0C\u8BED\u8A00\u672C\u8EAB\u79EF\u7D2F\u4E86\u8BB8\u591A\u4E00\u8BCD\u591A\u4E49\u7684\u7528\u6CD5\u3002\u8BED\u8A00\u7684\u4EA7\u751F\u662F\u591A\u65B9\u9762\u5171\u540C\u4F5C\u7528\u7684\u7ED3\u679C\u3002\u8BED\u8A00\u7684\u4F7F\u7528\u662F\u4E0D\u65AD\u53D8\u5316\u7684\uFF0C\u4E00\u4E2A\u8BCD\u5728\u53D1\u5C55\u4E2D\u6709\u8BB8\u591A\u5177\u4F53\u7684\u610F\u601D\uFF0C\u73B0\u5728\u901A\u7528\u7684\u8FD8\u6709\u4E00\u4E9B\u610F\u601D\u3002\u4E0D\u540C\u5730\u533A\u53EF\u80FD\u5BF9\u4E00\u4E2A\u8BCD\u6709\u4E0D\u540C \u7684\u7528\u6CD5\uFF0C\u4E0D\u540C\u7684\u884C\u4E1A\u5BF9\u4E00\u4E2A\u8BCD\u4E5F\u4F1A\u4E0D\u540C\uFF0C\u751A\u81F3\u4E0D\u540C\u7FA4\u4F53\u3001\u4E0D\u540C\u4E2A\u4EBA\u3001\u4E0D\u540C\u8BED\u6C14\u90FD\u4F1A\u6709\u81EA\u5DF1\u7684\u7279\u6B8A\u7684\u89E3\u8BFB\u610F\u601D\u3002\u8BED\u4E49\u6D88\u6B67\u662F\u4E00\u79CD\u8BED\u8A00\u7406\u89E3\u7684\u65B9\u5F0F\uFF0C\u4E00\u65B9\u9762\u6211\u4EEC\u8981\u7406\u89E3\u901A\u7528\u8BCD\u8BED\u4E00\u8BCD\u591A\u4E49\u7684\u542B\u4E49\u53CA\u5E94\u7528\uFF0C\u53E6\u4E00\u65B9\u9762\uFF0C\u8FD8\u8981\u8003\u8651\u5230\u5177\u4F53\u573A\u666F\uFF0C\u8FD0\u7528\u76F8\u5173\u77E5\u8BC6\u5E93\u3001\u8BED\u6599\u8BAD\u7EC3\u6765\u589E\u52A0\u4E00\u8BCD\u591A\u4E49\u7684\u6027\u80FD\u3002 \u8FC4\u4ECA\u4E3A\u6B62\uFF0C\u4E30\u5BCC\u591A\u6837\u7684\u6280\u672F\u5DF2\u7ECF\u88AB\u7814\u7A76\uFF0C\u4EE5\u8BCD\u5178\u4E3A\u57FA\u7840\u7684\u65B9\u6CD5\uFF0C\u4F7F\u7528\u77E5\u8BC6\u5E93\u4E0E\u77E5\u8BC6\u56FE\u8C31\u6280\u672F\u7684\uFF0C\u76D1\u7763\u5B66\u4E60\u7684\uFF0C\u65E0\u76D1\u7763\u7684\uFF0C\u534A\u76D1\u7763\u7684\uFF0C\u57FA\u4E8E\u8BCD\u6216\u8005\u8BCD\u5411\u91CF\u7684\u3002\u57FA\u4E8E\u5404\u79CD\u8D44\u6E90\u7684\u3001\u534A\u76D1\u7763\u7684\u3001\u540C\u65F6\u57FA\u4E8E\u8BCD\u4E0E\u8BCD\u5411\u91CF\u7684\u5E94\u8BE5\u662F\u53D1\u5C55\u7684\u65B9\u5411\u3002"@zh . . "Word-sense disambiguation"@en . . . . . . . . . . . . . . . . . . . "52693"^^ . . . . . . . "En el \u00E1mbito de la ling\u00FC\u00EDstica computacional, la desambiguaci\u00F3n del significado de las palabras es un problema abierto de procesamiento del lenguaje natural, que incluye el proceso de identificar con qu\u00E9 sentido se usa una palabra en los t\u00E9rminos de una oraci\u00F3n, o cuando la palabra en cuesti\u00F3n tiene polisemia, es decir, una pluralidad de significados."@es . . . . . . . . . . . . . . . . . . . . "\u8A9E\u7FA9\u306E\u66D6\u6627\u6027\u89E3\u6D88\uFF08\u3054\u304E\u306E\u3042\u3044\u307E\u3044\u305B\u3044\u304B\u3044\u3057\u3087\u3046\u3001\u82F1\u8A9E: Word-sense disambiguation\uFF09\u3068\u306F\u81EA\u7136\u8A00\u8A9E\u51E6\u7406\u306B\u304A\u3044\u3066\u3001\u6587\u4E2D\u306E\u3042\u308B\u5358\u8A9E\u306B\u51FA\u4F1A\u3063\u305F\u3068\u304D\u3001\u305D\u306E\u5358\u8A9E\u304C\u3069\u306E\u8A9E\u7FA9\u3092\u3042\u3089\u308F\u3057\u3066\u3044\u308B\u306E\u304B\u3092\u5224\u65AD\u3059\u308B\u904E\u7A0B\u306E\u3053\u3068\u3002\u8A9E\u7FA9\u8B58\u5225\u3001\u8A9E\u7FA9\u5224\u5225\u3001\u8A9E\u7FA9\u78BA\u5B9A\u306A\u3069\u3068\u3082\u3044\u3046\u3002 \u81EA\u7136\u8A00\u8A9E\u306E\u5358\u8A9E\u306B\u306F\u8907\u6570\u306E\u8A9E\u7FA9\u304C\u5B58\u5728\u3059\u308B\u5834\u5408\u304C\u3042\u308B\u3002\u305F\u3068\u3048\u3070\u52D5\u8A5E\u300C\u3084\u308B\u300D\u306B\u306F\u4EE5\u4E0B\u306E\u3088\u3046\u306A\u7570\u306A\u3063\u305F\u8A9E\u7FA9\u304C\u5B58\u5728\u3059\u308B: \n* \u5F7C\u306F\u305D\u306E\u4ED5\u4E8B\u3092\u3084\u3063\u305F\u3002\uFF08\u3042\u308B\u52D5\u4F5C\u3092\u3059\u308B\uFF09 \n* \u305D\u306E\u65E5\u306F\u30B8\u30E3\u30BA\u3092\u3084\u3063\u305F\u3002\uFF08\u6F14\u594F/\u4E0A\u6620\u3059\u308B\uFF09 \n* \u30D7\u30EC\u30BC\u30F3\u30C8\u3068\u3057\u3066\u6642\u8A08\u3092\u3084\u3063\u305F\u3002\uFF08\u8B72\u6E21\u3059\u308B\uFF09 \n* \u673A\u306E\u4E0A\u306E\u672C\u3092\u5411\u3053\u3046\u3078\u3084\u3063\u305F\u3002\uFF08\u3069\u304B\u3059\uFF09 \n* \u5FC3\u914D\u306A\u306E\u3067\u4EBA\u3092\u3084\u3063\u305F\u3002\uFF08\u9063\u3044\u3092\u51FA\u3059\uFF09 \n* \u76EE\u3092\u5411\u3053\u3046\u3078\u3084\u3063\u305F\u3002\uFF08\u8996\u7DDA\u3092\u6295\u3052\u308B\uFF09 \u8A9E\u7FA9\u306E\u66D6\u6627\u6027\u89E3\u6D88\u306F\u6A5F\u68B0\u7FFB\u8A33\u306A\u3069\u306E\u30A2\u30D7\u30EA\u30B1\u30FC\u30B7\u30E7\u30F3\u3067\u975E\u5E38\u306B\u91CD\u8981\u3067\u3042\u308B\u3002\u305F\u3068\u3048\u3070\u65E5\u672C\u8A9E\u306E\u300C\u3084\u308B\u300D\u3068\u3044\u3046\u52D5\u8A5E\u306E\u3082\u3064\u305D\u308C\u305E\u308C\u306E\u8A9E\u7FA9\u306F\u3001\u307B\u304B\u306E\u8A00\u8A9E\u3067\u306F\u5225\u3005\u306E\u52D5\u8A5E\uFF08\u82F1\u8A9E\u3067\u306F play, give, remove \u306A\u3069\uFF09\u306B\u3088\u3063\u3066\u8868\u3055\u308C\u3066\u3044\u308B\u305F\u3081\u3067\u3042\u308B\u3002\u73FE\u5728\u306E\u81EA\u7136\u8A00\u8A9E\u51E6\u7406\u3067\u306F\u3001\u8A9E\u7FA9\u306E\u66D6\u6627\u6027\u89E3\u6D88\u306B\u306F\u5358\u8A9E\u306E\u3092\u4F7F\u3046\u624B\u6CD5\u304C\u4E00\u822C\u7684\u3067\u3042\u308B\u3002"@ja . "Disambiguazione"@it . . . . . . . . . . "Na lingu\u00EDstica, desambigua\u00E7\u00E3o se refere ao processo de explica\u00E7\u00E3o \u00E0 mensagem que possui mais de um sentido. Um termo amb\u00EDguo \u00E9, ent\u00E3o, aquele que traz uma mensagem ou instru\u00E7\u00E3o confusa e que pode ser interpretado de mais de uma maneira. A desambigua\u00E7\u00E3o \u00E9 utilizada tanto na escrita quanto na fala, na l\u00EDngua de sinais, e at\u00E9 em sistemas informatizados \u2014 quando dois objetos (ou a\u00E7\u00F5es, ou adjetivos, incluindo termos concretos e abstratos) possuem o mesmo nome. Na Wikip\u00E9dia, as p\u00E1ginas de desambigua\u00E7\u00E3o referem-se a um mesmo termo que pode gerar mais que uma interpreta\u00E7\u00E3o poss\u00EDvel (conceitos distintos) a depender dos contextos."@pt . . . . . . "\u8BCD\u4E49\u6D88\u6B67"@zh . . . . . . . . "Disambiguierung (von lateinisch dis- \u201Ezer-, un-, auseinander\u201C, und ambiguus \u201Edoppeldeutig, uneindeutig\u201C) oder Begriffskl\u00E4rung bezeichnet in der Sprachwissenschaft die Aufl\u00F6sung sprachlicher Mehrdeutigkeit (Ambiguit\u00E4t). Dabei wird f\u00FCr ein Wort oder einen Ausdruck in seinem Kontext eine eindeutige Bedeutung durch syntaktische oder semantische Zuordnung hergestellt (im Unterschied zu einer Begriffserkl\u00E4rung). Je nach Arbeitsfeld oder Theorie in Semiotik und Sprachwissenschaft finden sich weitere vergleichbare Bezeichnungen wie Monosemierung (Eindeutigmachung) oder Entambiguisierung (Vereindeutigung)."@de . "Word-sense disambiguation (WSD) is the process of identifying which sense of a word is meant in a sentence or other segment of context. In human language processing and cognition, it is usually subconscious/automatic but can often come to conscious attention when ambiguity impairs clarity of communication, given the pervasive polysemy in natural language. In computational linguistics, it is an open problem that affects other computer-related writing, such as discourse, improving relevance of search engines, anaphora resolution, coherence, and inference. Given that natural language requires reflection of neurological reality, as shaped by the abilities provided by the brain's neural networks, computer science has had a long-term challenge in developing the ability in computers to do natural language processing and machine learning. Many techniques have been researched, including dictionary-based methods that use the knowledge encoded in lexical resources, supervised machine learning methods in which a classifier is trained for each distinct word on a corpus of manually sense-annotated examples, and completely unsupervised methods that cluster occurrences of words, thereby inducing word senses. Among these, supervised learning approaches have been the most successful algorithms to date. Accuracy of current algorithms is difficult to state without a host of caveats. In English, accuracy at the coarse-grained (homograph) level is routinely above 90% (as of 2009), with some methods on particular homographs achieving over 96%. On finer-grained sense distinctions, top accuracies from 59.1% to 69.0% have been reported in evaluation exercises (SemEval-2007, Senseval-2), where the baseline accuracy of the simplest possible algorithm of always choosing the most frequent sense was 51.4% and 57%, respectively."@en . . . . "1122561785"^^ . . . "\u0420\u0430\u0437\u0440\u0435\u0448\u0435\u043D\u0438\u0435 \u043B\u0435\u043A\u0441\u0438\u0447\u0435\u0441\u043A\u043E\u0439 \u043C\u043D\u043E\u0433\u043E\u0437\u043D\u0430\u0447\u043D\u043E\u0441\u0442\u0438 (\u0430\u043D\u0433\u043B. word sense disambiguation, WSD) \u2014 \u044D\u0442\u043E \u043D\u0435\u0440\u0430\u0437\u0440\u0435\u0448\u0435\u043D\u043D\u0430\u044F \u043F\u0440\u043E\u0431\u043B\u0435\u043C\u0430 \u043E\u0431\u0440\u0430\u0431\u043E\u0442\u043A\u0438 \u0435\u0441\u0442\u0435\u0441\u0442\u0432\u0435\u043D\u043D\u043E\u0433\u043E \u044F\u0437\u044B\u043A\u0430, \u043A\u043E\u0442\u043E\u0440\u0430\u044F \u0437\u0430\u043A\u043B\u044E\u0447\u0430\u0435\u0442\u0441\u044F \u0432 \u0437\u0430\u0434\u0430\u0447\u0435 \u0432\u044B\u0431\u043E\u0440\u0430 \u0437\u043D\u0430\u0447\u0435\u043D\u0438\u044F (\u0438\u043B\u0438 \u0441\u043C\u044B\u0441\u043B\u0430) \u043C\u043D\u043E\u0433\u043E\u0437\u043D\u0430\u0447\u043D\u043E\u0433\u043E \u0441\u043B\u043E\u0432\u0430 \u0438\u043B\u0438 \u0441\u043B\u043E\u0432\u043E\u0441\u043E\u0447\u0435\u0442\u0430\u043D\u0438\u044F \u0432 \u0437\u0430\u0432\u0438\u0441\u0438\u043C\u043E\u0441\u0442\u0438 \u043E\u0442 \u043A\u043E\u043D\u0442\u0435\u043A\u0441\u0442\u0430, \u0432 \u043A\u043E\u0442\u043E\u0440\u043E\u043C \u043E\u043D\u043E \u043D\u0430\u0445\u043E\u0434\u0438\u0442\u0441\u044F. \u0414\u0430\u043D\u043D\u0430\u044F \u0437\u0430\u0434\u0430\u0447\u0430 \u0432\u043E\u0437\u043D\u0438\u043A\u0430\u0435\u0442 \u0432 \u0434\u0438\u0441\u043A\u0443\u0440\u0441\u0438\u0432\u043D\u043E\u043C \u0430\u043D\u0430\u043B\u0438\u0437\u0435, \u043F\u0440\u0438 \u043E\u043F\u0442\u0438\u043C\u0438\u0437\u0430\u0446\u0438\u0438 \u0440\u0435\u043B\u0435\u0432\u0430\u043D\u0442\u043D\u043E\u0441\u0442\u0438 \u0440\u0435\u0437\u0443\u043B\u044C\u0442\u0430\u0442\u043E\u0432 \u043F\u043E\u0438\u0441\u043A\u043E\u0432\u044B\u043C\u0438 \u0441\u0438\u0441\u0442\u0435\u043C\u0430\u043C\u0438, \u043F\u0440\u0438 \u0440\u0430\u0437\u0440\u0435\u0448\u0435\u043D\u0438\u0438 \u0430\u043D\u0430\u0444\u043E\u0440\u0438\u0447\u0435\u0441\u043A\u0438\u0445 \u043E\u0442\u0441\u044B\u043B\u043E\u043A, \u0432 \u0438\u0441\u0441\u043B\u0435\u0434\u043E\u0432\u0430\u043D\u0438\u0438 \u043B\u0438\u043D\u0433\u0432\u0438\u0441\u0442\u0438\u0447\u0435\u0441\u043A\u043E\u0439 \u043A\u043E\u0433\u0435\u0440\u0435\u043D\u0442\u043D\u043E\u0441\u0442\u0438 \u0442\u0435\u043A\u0441\u0442\u0430, \u043F\u0440\u0438 \u0430\u043D\u0430\u043B\u0438\u0437\u0435 \u0443\u043C\u043E\u0437\u0430\u043A\u043B\u044E\u0447\u0435\u043D\u0438\u0439."@ru . . . . . . . "\u8A9E\u7FA9\u306E\u66D6\u6627\u6027\u89E3\u6D88\uFF08\u3054\u304E\u306E\u3042\u3044\u307E\u3044\u305B\u3044\u304B\u3044\u3057\u3087\u3046\u3001\u82F1\u8A9E: Word-sense disambiguation\uFF09\u3068\u306F\u81EA\u7136\u8A00\u8A9E\u51E6\u7406\u306B\u304A\u3044\u3066\u3001\u6587\u4E2D\u306E\u3042\u308B\u5358\u8A9E\u306B\u51FA\u4F1A\u3063\u305F\u3068\u304D\u3001\u305D\u306E\u5358\u8A9E\u304C\u3069\u306E\u8A9E\u7FA9\u3092\u3042\u3089\u308F\u3057\u3066\u3044\u308B\u306E\u304B\u3092\u5224\u65AD\u3059\u308B\u904E\u7A0B\u306E\u3053\u3068\u3002\u8A9E\u7FA9\u8B58\u5225\u3001\u8A9E\u7FA9\u5224\u5225\u3001\u8A9E\u7FA9\u78BA\u5B9A\u306A\u3069\u3068\u3082\u3044\u3046\u3002 \u81EA\u7136\u8A00\u8A9E\u306E\u5358\u8A9E\u306B\u306F\u8907\u6570\u306E\u8A9E\u7FA9\u304C\u5B58\u5728\u3059\u308B\u5834\u5408\u304C\u3042\u308B\u3002\u305F\u3068\u3048\u3070\u52D5\u8A5E\u300C\u3084\u308B\u300D\u306B\u306F\u4EE5\u4E0B\u306E\u3088\u3046\u306A\u7570\u306A\u3063\u305F\u8A9E\u7FA9\u304C\u5B58\u5728\u3059\u308B: \n* \u5F7C\u306F\u305D\u306E\u4ED5\u4E8B\u3092\u3084\u3063\u305F\u3002\uFF08\u3042\u308B\u52D5\u4F5C\u3092\u3059\u308B\uFF09 \n* \u305D\u306E\u65E5\u306F\u30B8\u30E3\u30BA\u3092\u3084\u3063\u305F\u3002\uFF08\u6F14\u594F/\u4E0A\u6620\u3059\u308B\uFF09 \n* \u30D7\u30EC\u30BC\u30F3\u30C8\u3068\u3057\u3066\u6642\u8A08\u3092\u3084\u3063\u305F\u3002\uFF08\u8B72\u6E21\u3059\u308B\uFF09 \n* \u673A\u306E\u4E0A\u306E\u672C\u3092\u5411\u3053\u3046\u3078\u3084\u3063\u305F\u3002\uFF08\u3069\u304B\u3059\uFF09 \n* \u5FC3\u914D\u306A\u306E\u3067\u4EBA\u3092\u3084\u3063\u305F\u3002\uFF08\u9063\u3044\u3092\u51FA\u3059\uFF09 \n* \u76EE\u3092\u5411\u3053\u3046\u3078\u3084\u3063\u305F\u3002\uFF08\u8996\u7DDA\u3092\u6295\u3052\u308B\uFF09 \u8A9E\u7FA9\u306E\u66D6\u6627\u6027\u89E3\u6D88\u306F\u6A5F\u68B0\u7FFB\u8A33\u306A\u3069\u306E\u30A2\u30D7\u30EA\u30B1\u30FC\u30B7\u30E7\u30F3\u3067\u975E\u5E38\u306B\u91CD\u8981\u3067\u3042\u308B\u3002\u305F\u3068\u3048\u3070\u65E5\u672C\u8A9E\u306E\u300C\u3084\u308B\u300D\u3068\u3044\u3046\u52D5\u8A5E\u306E\u3082\u3064\u305D\u308C\u305E\u308C\u306E\u8A9E\u7FA9\u306F\u3001\u307B\u304B\u306E\u8A00\u8A9E\u3067\u306F\u5225\u3005\u306E\u52D5\u8A5E\uFF08\u82F1\u8A9E\u3067\u306F play, give, remove \u306A\u3069\uFF09\u306B\u3088\u3063\u3066\u8868\u3055\u308C\u3066\u3044\u308B\u305F\u3081\u3067\u3042\u308B\u3002\u73FE\u5728\u306E\u81EA\u7136\u8A00\u8A9E\u51E6\u7406\u3067\u306F\u3001\u8A9E\u7FA9\u306E\u66D6\u6627\u6027\u89E3\u6D88\u306B\u306F\u5358\u8A9E\u306E\u3092\u4F7F\u3046\u624B\u6CD5\u304C\u4E00\u822C\u7684\u3067\u3042\u308B\u3002"@ja . . . . . . . . "Disambiguierung (von lateinisch dis- \u201Ezer-, un-, auseinander\u201C, und ambiguus \u201Edoppeldeutig, uneindeutig\u201C) oder Begriffskl\u00E4rung bezeichnet in der Sprachwissenschaft die Aufl\u00F6sung sprachlicher Mehrdeutigkeit (Ambiguit\u00E4t). Dabei wird f\u00FCr ein Wort oder einen Ausdruck in seinem Kontext eine eindeutige Bedeutung durch syntaktische oder semantische Zuordnung hergestellt (im Unterschied zu einer Begriffserkl\u00E4rung). Je nach Arbeitsfeld oder Theorie in Semiotik und Sprachwissenschaft finden sich weitere vergleichbare Bezeichnungen wie Monosemierung (Eindeutigmachung) oder Entambiguisierung (Vereindeutigung)."@de . . . . . "Dalam linguistik komputasi, disambiguasi makna atau pengawataksaan makna (bahasa Inggris: word sense disambiguation (WSD)) adalah masalah terbuka pemrosesan bahasa alami berupa proses identifikasi makna kata polisemi yang digunakan pada suatu kalimat. Penyelesaian masalah ini antara lain berdampak terhadap relevansi mesin pencari, pemecahan anafora, koherensi atau kepaduan, serta atau penyimpulan. Teknik-teknik yang dapat diterapkan antara lain adalah: \n* metode berbasis kamus yang menggunakan rujukan dari sumber leksikal \n* metode pembelajaran mesin terbimbing yang mengajarkan suatu penggolong untuk setiap kata pada contoh korpus yang dimaknai secara manual \n* metode tanpa bimbingan yang menggolongkan berdasarkan kemunculan kata. Dari berbagai metode ini, metode adalah algoritme yang paling berhasil sampai saat ini. Penelitian disambiguasi makna kata bahasa Inggris telah mencapai tingkat ketepatan (akurasi) yang cukup tinggi pada berbagai kelas kata dan sintaksis. Ketepatan di tingkat kasar (homograf) telah berhasil melewati 90%, sedangkan ketepatan di tingkat yang lebih halus berkisar antara 59%\u201369%."@in . . . "\u8BA1\u7B97\u673A\u8BED\u8A00\u5B66\u4E2D\uFF0C\u8BCD\u4E49\u6D88\u6B67\u662F\u4E00\u4E2A \u81EA\u7136\u8BED\u8A00\u5904\u7406\u548C\u672C\u4F53\u8BBA\u7684\u5F00\u653E\u95EE\u9898\u3002\u6B67\u4E49\u4E0E\u6D88\u6B67\u662F\u81EA\u7136\u8BED\u8A00\u7406\u89E3\u4E2D\u6700\u6838\u5FC3\u7684\u95EE\u9898\uFF0C\u5728\u8BCD\u4E49\u3001\u53E5\u4E49\u3001\u7BC7\u7AE0\u542B\u4E49\u5C42\u6B21\u90FD\u4F1A\u51FA\u73B0\u8BED\u8A00\u6839\u636E\u4E0A\u4E0B\u6587\u8BED\u4E49\u4E0D\u540C\u7684\u73B0\u8C61\uFF0C\u6D88\u6B67\u5373\u6307\u6839\u636E\u4E0A\u4E0B\u6587\u786E\u5B9A\u5BF9\u8C61\u8BED\u4E49\u7684\u8FC7\u7A0B\u3002\u8BCD\u4E49\u6D88\u6B67\u5373\u5728\u8BCD\u8BED\u5C42\u6B21\u4E0A\u7684\u8BED\u4E49\u6D88\u6B67\u3002\u8BED\u4E49\u6D88\u6B67/\u8BCD\u4E49\u6D88\u6B67 \u662F\u81EA\u7136\u8BED\u8A00\u5904\u7406\u4EFB\u52A1\u7684\u4E00\u4E2A\u6838\u5FC3\u4E0E\u96BE\u70B9\uFF0C\u5F71\u54CD\u4E86\u51E0\u4E4E\u6240\u6709\u4EFB\u52A1\u7684\u6027\u80FD\uFF0C\u6BD4\u5982\u641C\u7D22\u5F15\u64CE\u3001\u610F\u89C1\u6316\u6398\u3001\u6587\u672C\u7406\u89E3\u4E0E\u4EA7\u751F\u3001\u63A8\u7406\u7B49\u3002 \u5728\u8BED\u8A00\u5B66\u957F\u671F\u53D1\u5C55\u7684\u8FC7\u7A0B\u4E2D\uFF0C\u8BED\u8A00\u672C\u8EAB\u79EF\u7D2F\u4E86\u8BB8\u591A\u4E00\u8BCD\u591A\u4E49\u7684\u7528\u6CD5\u3002\u8BED\u8A00\u7684\u4EA7\u751F\u662F\u591A\u65B9\u9762\u5171\u540C\u4F5C\u7528\u7684\u7ED3\u679C\u3002\u8BED\u8A00\u7684\u4F7F\u7528\u662F\u4E0D\u65AD\u53D8\u5316\u7684\uFF0C\u4E00\u4E2A\u8BCD\u5728\u53D1\u5C55\u4E2D\u6709\u8BB8\u591A\u5177\u4F53\u7684\u610F\u601D\uFF0C\u73B0\u5728\u901A\u7528\u7684\u8FD8\u6709\u4E00\u4E9B\u610F\u601D\u3002\u4E0D\u540C\u5730\u533A\u53EF\u80FD\u5BF9\u4E00\u4E2A\u8BCD\u6709\u4E0D\u540C \u7684\u7528\u6CD5\uFF0C\u4E0D\u540C\u7684\u884C\u4E1A\u5BF9\u4E00\u4E2A\u8BCD\u4E5F\u4F1A\u4E0D\u540C\uFF0C\u751A\u81F3\u4E0D\u540C\u7FA4\u4F53\u3001\u4E0D\u540C\u4E2A\u4EBA\u3001\u4E0D\u540C\u8BED\u6C14\u90FD\u4F1A\u6709\u81EA\u5DF1\u7684\u7279\u6B8A\u7684\u89E3\u8BFB\u610F\u601D\u3002\u8BED\u4E49\u6D88\u6B67\u662F\u4E00\u79CD\u8BED\u8A00\u7406\u89E3\u7684\u65B9\u5F0F\uFF0C\u4E00\u65B9\u9762\u6211\u4EEC\u8981\u7406\u89E3\u901A\u7528\u8BCD\u8BED\u4E00\u8BCD\u591A\u4E49\u7684\u542B\u4E49\u53CA\u5E94\u7528\uFF0C\u53E6\u4E00\u65B9\u9762\uFF0C\u8FD8\u8981\u8003\u8651\u5230\u5177\u4F53\u573A\u666F\uFF0C\u8FD0\u7528\u76F8\u5173\u77E5\u8BC6\u5E93\u3001\u8BED\u6599\u8BAD\u7EC3\u6765\u589E\u52A0\u4E00\u8BCD\u591A\u4E49\u7684\u6027\u80FD\u3002 \u8FC4\u4ECA\u4E3A\u6B62\uFF0C\u4E30\u5BCC\u591A\u6837\u7684\u6280\u672F\u5DF2\u7ECF\u88AB\u7814\u7A76\uFF0C\u4EE5\u8BCD\u5178\u4E3A\u57FA\u7840\u7684\u65B9\u6CD5\uFF0C\u4F7F\u7528\u77E5\u8BC6\u5E93\u4E0E\u77E5\u8BC6\u56FE\u8C31\u6280\u672F\u7684\uFF0C\u76D1\u7763\u5B66\u4E60\u7684\uFF0C\u65E0\u76D1\u7763\u7684\uFF0C\u534A\u76D1\u7763\u7684\uFF0C\u57FA\u4E8E\u8BCD\u6216\u8005\u8BCD\u5411\u91CF\u7684\u3002\u57FA\u4E8E\u5404\u79CD\u8D44\u6E90\u7684\u3001\u534A\u76D1\u7763\u7684\u3001\u540C\u65F6\u57FA\u4E8E\u8BCD\u4E0E\u8BCD\u5411\u91CF\u7684\u5E94\u8BE5\u662F\u53D1\u5C55\u7684\u65B9\u5411\u3002"@zh . . . . "Disambiguasi makna"@in . . . "Desambigua\u00E7\u00E3o"@pt . . . "Desambiguaci\u00F3n ling\u00FC\u00EDstica"@es . . . . . . . . . "Hitzen adiera-desanbiguazioa"@eu . . . . "Word-sense disambiguation (WSD) is the process of identifying which sense of a word is meant in a sentence or other segment of context. In human language processing and cognition, it is usually subconscious/automatic but can often come to conscious attention when ambiguity impairs clarity of communication, given the pervasive polysemy in natural language. In computational linguistics, it is an open problem that affects other computer-related writing, such as discourse, improving relevance of search engines, anaphora resolution, coherence, and inference."@en . . . . . . . . . . . . . . . . . . . . . . . . . "La d\u00E9sambigu\u00EFsation lexicale ou d\u00E9sambig\u00FCisation lexicale est la d\u00E9termination du sens d'un mot dans une phrase lorsque ce mot peut avoir plusieurs sens possibles. Dans la linguistique informatique, la d\u00E9sambigu\u00EFsation lexicale est un probl\u00E8me non r\u00E9solu dans le traitement des langues naturelles et de l'ontologie informatique. La r\u00E9solution de ce probl\u00E8me permettrait des avanc\u00E9es importantes dans d'autres champs de la linguistique informatique comme l'analyse du discours, l'am\u00E9lioration de la pertinence des r\u00E9sultats des moteurs de recherche, la r\u00E9solution des anaphores, la coh\u00E9rence, l'inf\u00E9rence, etc. Le cerveau humain est tr\u00E8s habile pour d\u00E9sambigu\u00EFser les sens des mots. Le fait que les langues naturelles demandent souvent l'emploi de cette facult\u00E9 est un reflet de l'habilit\u00E9 du cerveau dans ce domaine. Autrement dit, la mode de d\u00E9veloppement des langues humaines refl\u00E8te (et a contribu\u00E9 \u00E0 former) la capacit\u00E9 inn\u00E9e des r\u00E9seaux de neurones du cerveau. Par contre, depuis longtemps, le traitement des langues naturelles et l'apprentissage automatique ont pos\u00E9 un d\u00E9fi \u00E0 l'informatique."@fr . . . . . . . . . . . . . . . . . . "Hizkuntzalaritza konputazionalean, hitzen adiera-desanbiguazioa (ingelesez Word sense disambiguation edo WSD) perpaus jakin batean hitz polisemiko batek duen adiera antzematean datzan prozesua da. Esate baterako, hori hitzak adiera ezberdinak izan ditzake testu-inguruaren arabera, hauek tartean: 1. \n* erak. Entzuten ari denaren inguruko pertsonei eta gauzei ezartzen zaien erakuslea (izenordain gisa ere erabil daiteke). (Harluxet) 2. \n* iz. Argi zuriaren espektroko hirugarren kolorea, laranjaren eta berdearen artekoa. (Harluxet) Eta adibide bezala honako perpaus hauek eman daitezke:"@eu . . . . . . . "\u8A9E\u7FA9\u306E\u66D6\u6627\u6027\u89E3\u6D88"@ja . . . . .