By Pushpak Bhattacharyya
"The proposed venture on desktop translation could be in line with the above pedagogy, during the research of phenomena, formalization, after which elucidation of the concepts. Case reviews, examples, and historic views should be used largely to hide the fabric. the first goal of this ebook is to supply an available textual content e-book on laptop translation overlaying lucidly the rules, insights, and case studies for useful issues. The publication may additionally element in the direction of the place the sphere is at present and heading in the direction of within the future"--
This booklet discusses the 3 significant paradigms of computing device translation: rule-based, statistical, and example-based, and offers examples and insight-generating exercises..'-- Read more...
summary: "The proposed venture on desktop translation should be in response to the above pedagogy, in the course of the research of phenomena, formalization, after which elucidation of the options. Case experiences, examples, and old views could be used commonly to hide the cloth. the first target of this publication is to supply an obtainable textual content booklet on laptop translation overlaying lucidly the principles, insights, and case reports for sensible matters. The ebook might additionally element in the direction of the place the sector is at present and heading in the direction of within the future"--
This ebook discusses the 3 significant paradigms of computer translation: rule-based, statistical, and example-based, and gives examples and insight-generating exercises..'
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Extra info for Machine Translation
3 we introduced the notion of language divergence (LD), which is fundamental to the study of MT. Since transfer is the stage at which MT “enters” the target language from the source language, the process of transfer has to be discussed in the context of language divergence.
Arguing as in the case of Czech and English, the correspondences Dhotaa huM → I carry and chalaataa huM → I drive yield the mappings I → A huM, and then the mappings Dho → carry and chalaa → drive. Now egA carries the mapping of He will. Using Dhoegaa → He will carry and DhotA hE → He carries, we propose A → he. So eg → will. The translation of I will carry is Dhoegaa huM, which we know is wrong. 4 English-Bengali Data Corresponding to the Czech-English Example Bengali Bengali বই বইবে বয় বয় চালাই সাঁতরায় bai baibe bay bay chaalaai saaMtraai English I carry He will carry He carries They carry I drive They swim Of course, we will not know that Dhoegaa huM → I will carry is wrong and will carry on, until we meet evidence to the contrary.
Use is made of the similarity and the differences in the data. For example, the correspondences NESU → I carry and YEDU → I drive yield the mappings I → U, because what is common between the pair of sentences on the English side is I and what is common on the Czech side is U. After dispensing with this mapping, what is left is the two substrings NES and YED, which should map to carry and drive, respectively, since the sentences themselves are in correspondence. At this point we know from the correspondence PONESE → He will carry that PO and E align with he and will, but do not know which to which.