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Tambouratzis et al., 2017 - Google Patents

Machine Translation with Minimal Reliance on Parallel Resources

Tambouratzis et al., 2017

Document ID
9734197159276026327
Author
Tambouratzis G
Vassiliou M
Sofianopoulos S
Publication year

External Links

Snippet

This chapter presents in detail the main translation process of PRESEMT, delving deeper in the core of the system and its inner workings. All SMT systems (Koehn 2010), which represent the dominant approach to automatic translation, employ two statistical models in …
Continue reading at link.springer.com (other versions)

Classifications

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    • G06F17/2809—Data driven translation
    • G06F17/2827—Example based machine translation; Alignment
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
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    • G06F17/271—Syntactic parsing, e.g. based on context-free grammar [CFG], unification grammars
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