While there have been many variants, most MT systems--and certainly those that have found practical application--have parts that can be named for the chapters in a linguistics text book. They have lexical, morphological, syntactic, and possibly semantic components--one for each language being processed--for treating basic words, complex words, sentences, and meanings. Each one of these components transmits to the next one a very abstract representation of the statements produced by prior components. Some systems make use of a so-called "interlingua" or transition language, in which case the translation process is divided into two parts, one translating a statement into the interlingua and the other translating the result of this processing into the target language. Automatic translation systems up to now have not been able to make significant use of a general semantic knowledge. Up to a certain point, they have been able to compensate for this inability through statistical algorithms in artificial-intelligence engines. --- Ben que il ha habite multe variantes, le major parte del systemas de traduction electronic--e certemente illos que ha trovate qualque application practic--ha partes que pote trovar se como capitulos in un libro de instruction sur le linguistica. Illos ha componentes lexic, morphologic, syntactic e possibilemente semantic--un pro le duo linguas que se processa--, le quales tracta parolas basic, parolas complexe, asseverationes, e significantias. Cata uno ex iste componentes transmitte al proxime un representation multo abstracte del asseverationes producite per componentes anterior. Alicun systemas usa un "interlingua", o sia un lingua de transition, in le qual le processo de traduction se divide in duo partes, le prime que traduce un asseveration al interlingua e le altere que traduce le resultato de iste processamento a in le lingua al qual le systema traduce. Usque nunc systemas de traduction automatic non ha potite usar significantemente cognoscimentos semantic general. Usque un certe puncto, illos ha potite compensar pro iste incapacitate usante algorithmos statistic in motores de intelligentia artificial. (Adaptate ex information in <http://www.lsadc.org>) __________________________________ Do you Yahoo!? Yahoo! Hotjobs: Enter the "Signing Bonus" Sweepstakes http://hotjobs.sweepstakes.yahoo.com/signingbonus