{"id":42727,"date":"2018-03-09T09:44:44","date_gmt":"2018-03-09T09:44:44","guid":{"rendered":"https:\/\/www.deberes.net\/tesis\/sin-categoria\/tecnicas-de-correccion-de-errores-y-su-aplicacion-en-reconocimiento-de-formas-tratamiento-del-lenguaje-natural-y-traduccion-automatica\/"},"modified":"2018-03-09T09:44:44","modified_gmt":"2018-03-09T09:44:44","slug":"tecnicas-de-correccion-de-errores-y-su-aplicacion-en-reconocimiento-de-formas-tratamiento-del-lenguaje-natural-y-traduccion-automatica","status":"publish","type":"post","link":"https:\/\/www.deberes.net\/tesis\/linguistica\/tecnicas-de-correccion-de-errores-y-su-aplicacion-en-reconocimiento-de-formas-tratamiento-del-lenguaje-natural-y-traduccion-automatica\/","title":{"rendered":"T\u00e9cnicas de correcci\u00f3n de errores y su aplicaci\u00f3n en reconocimiento de formas, tratamiento del lenguaje natural y traducci\u00f3n autom\u00e1tica."},"content":{"rendered":"<h2>Tesis doctoral de <strong>  Amengual Argudo Juan  Carlos <\/strong><\/h2>\n<p>El problema central que abordamos en esta tesis se puede plantear como sigue:  \u00abun emisor e env\u00eda un mensaje, contenido en la cadena y, a un receptor r a trav\u00e9s de un canal c, utilizando la descripci\u00f3n del lenguaje fuente f. Sin embargo, r recibe la cadena x. Se trata de dise\u00f1ar un descodificador d seg\u00fan la descripci\u00f3n f y las caracter\u00edsticas del ruido que puede introducir c\u00bb.  asumiendo que f se puede representar mediante un modelo (estoc\u00e1stico) de estados finitos y que el ruido introducido por c, afecta a s\u00edmbolos indiviudales y se puede representar mediante operaciones de inserci\u00f3n, sustituci\u00f3n y borrado:  &#8211; hemos desarrollado eficientes algoritmos de an\u00e1lisis sint\u00e1ctico corrector de errores empleando t\u00e9cnicas de b\u00fasqueda en haz.  &#8211; hemos planteado diversas t\u00e9cnicas para la estimaci\u00f3n de los par\u00e1metros de c (asumiendo un modelo estoc\u00e1stico del mismo).  &#8211; hemos desarrollado un nuevo modelo estoc\u00e1stico para c capaz de realizar operaciones de \u00abtrasnposici\u00f3n\u00bb.  finalmente, presentamos experimentos que demuestran la utilidad de las t\u00e9cnicas de correcci\u00f3n de errores en:  &#8211; reconocimiento de formas  &#8211; suavizado de modelos de lenguaje  &#8211; tratamiento del lenguaje natural  &#8211; traducci\u00f3n autom\u00e1tica.<\/p>\n<p>&nbsp;<\/p>\n<h3>Datos acad\u00e9micos de la tesis doctoral \u00ab<strong>T\u00e9cnicas de correcci\u00f3n de errores y su aplicaci\u00f3n en reconocimiento de formas, tratamiento del lenguaje natural y traducci\u00f3n autom\u00e1tica.<\/strong>\u00ab<\/h3>\n<ul>\n<li><strong>T\u00edtulo de la tesis:<\/strong>\u00a0 T\u00e9cnicas de correcci\u00f3n de errores y su aplicaci\u00f3n en reconocimiento de formas, tratamiento del lenguaje natural y traducci\u00f3n autom\u00e1tica. <\/li>\n<li><strong>Autor:<\/strong>\u00a0  Amengual Argudo Juan  Carlos <\/li>\n<li><strong>Universidad:<\/strong>\u00a0 Polit\u00e9cnica de Valencia<\/li>\n<li><strong>Fecha de lectura de la tesis:<\/strong>\u00a0 19\/02\/1999<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<h3>Direcci\u00f3n y tribunal<\/h3>\n<ul>\n<li><strong>Director de la tesis<\/strong>\n<ul>\n<li>Enrique Vidal Ruiz<\/li>\n<\/ul>\n<\/li>\n<li><strong>Tribunal<\/strong>\n<ul>\n<li>Presidente del tribunal: Francisco Casacuberta nolla <\/li>\n<li>pierre Dupont (vocal)<\/li>\n<li>Jos\u00e9 Miguel Bened\u00ed ruiz (vocal)<\/li>\n<li>mikel lorenzo Forcada zubizarreta (vocal)<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Tesis doctoral de Amengual Argudo Juan Carlos El problema central que abordamos en esta tesis se puede plantear como sigue: [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"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-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-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-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-gradient":""}},"ast-content-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-gradient":""},"tablet":{"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-gradient":""},"mobile":{"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-gradient":""}},"footnotes":""},"categories":[1890,2528,59,60,2302,126,16820],"tags":[107163,17029,4152,9342,53901,83437],"class_list":["post-42727","post","type-post","status-publish","format-standard","hentry","category-ciencia-de-los-ordenadores","category-inteligencia-artificial","category-linguistica","category-linguistica-aplicada","category-linguistica-computacional","category-matematicas","category-politecnica-de-valencia","tag-amengual-argudo-juan-carlos","tag-enrique-vidal-ruiz","tag-francisco-casacuberta-nolla","tag-jose-miguel-benedi-ruiz","tag-mikel-lorenzo-forcada-zubizarreta","tag-pierre-dupont"],"_links":{"self":[{"href":"https:\/\/www.deberes.net\/tesis\/wp-json\/wp\/v2\/posts\/42727","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.deberes.net\/tesis\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.deberes.net\/tesis\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.deberes.net\/tesis\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.deberes.net\/tesis\/wp-json\/wp\/v2\/comments?post=42727"}],"version-history":[{"count":0,"href":"https:\/\/www.deberes.net\/tesis\/wp-json\/wp\/v2\/posts\/42727\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.deberes.net\/tesis\/wp-json\/wp\/v2\/media?parent=42727"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.deberes.net\/tesis\/wp-json\/wp\/v2\/categories?post=42727"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.deberes.net\/tesis\/wp-json\/wp\/v2\/tags?post=42727"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}