madman:
Medjutim po mom misljenju za ovako obiman projekat i za nase uslove (finansijske) ovde bi dobro doso jedan open source projekat

Dragi Tata:
Uostalom, zna li neko za bilo koji Open Source prevodilac (za bilo koje jezike)?

random:


Znam na primer ja. Molim rasvetu da obasja GPLTrans.

Dragi Tata:
Očigledno nije u pitanju pravi translator...

leka:
Logicno da su svi ti prevodioci glupi - narode takav softver ne može da se piše u C-u! To je naravno moje mišljenje... Naravno kao i uvek C programeri su uvek ispred svih i svaka čast, ali je problem takav da zahteva neki drugi jezik - recimo Prolog ...

cross_boy:
Takav prevodilac bi bio pravi napredak ....Otkrila bi se vestacka inteligencija , zar ne ???

pegazus:

Standardni racunarski kurs koji pokriva delimicno ovu oblast je
Prevodioci i Interpretatori,
neohodna znanja za bilo kakav razgovor su:
automati(konacni ...), regularni izrazi(perl)(lex), formalni jezici i gramatike
i mozda jos po nesto.

Literatura:(moja)
Parsing Tehnics(sintaksna analiza), neki engleski univerzitet
Compilers and Compiler Generators, Holandski univerzitet

pegazus:

u svakom slucaju za pronalaske u racunarstvu
najzasluzniji su mladi ljude(postdiplomci), tako da je moje misljenje da
su magistri tu u malom zaostatku.

simpson:
Ne zamerite mi, ali ja verujem da je nesto tako nemoguce napraviti.

Vreme ce pokazati da li sam u pravu!

Go! X:
Što se mene tiče "reč po reč" prevodioci savršeno rade posao (pitajte moju profesorku francuskog kako imam 5 iz francuskog? - živeo babelfish.altavista.com i Systran)...

Statistical machine translation - in which computers essentially learn new languages on their own instead of being "taught" the languages by bilingual human programmers - has taken off. The new technology allows scientists to develop machine translation systems for a wide number of obscure languages at a pace that experts once thought impossible.

Dr. Knight and others said the progress and accuracy of statistical machine translation had recently surpassed that of the traditional machine translation programs used by Web sites like Yahoo and BabelFish. In the past, such programs were able to compile extensive databanks of foreign languages that allowed them to outperform statistics-based systems.

Traditional machine translation relies on painstaking efforts by bilingual programmers to enter the vast wealth of information on vocabulary and syntax that the computer needs to translate one language into another. But in the early 1990's, a team of researchers at I.B.M. devised another way to do things: feeding a computer an English text and its translation in a different language. The computer then uses statistical analysis to "learn" the second language.

[...]

Today researchers are racing to improve the quality and accuracy of the translations. The final translations generally give an average reader a solid understanding of the original meaning but are far from grammatically correct. While not perfect, statistics-based technology is also allowing scientists to crack scores of languages in a fraction of the time, and at a fraction of the cost, that traditional methods involved.

A team of computer scientists at Johns Hopkins led by David Yarowsky is developing machine translations of such languages as Uzbek, Bengali, Nepali - and one from "Star Trek."

"If we can learn how to translate even Klingon into English, then most human languages are easy by comparison," he said. "All our techniques require is having texts in two languages. For example, the Klingon Language Institute translated 'Hamlet' and the Bible into Klingon, and our programs can automatically learn a basic Klingon-English MT system from that.''

Dr. Yarowsky said he hoped to have working translation systems for as many as 100 languages within five years.