Ve tĹ™etĂm dĂlu MT Talks nás OndĹ™ej Bojar (ĂšFAL) seznámĂ s kroky pĹ™edběžnĂ©ho zpracovánĂ (pre-processing steps). Jde zejmĂ©na o normalizaci a tokenizaci. PeÄŤlivou pĹ™Ăpravou se tak pĹ™i uĹľitĂ Machine Translation mĹŻĹľeme vyhnout tĹ™eba tomu, Ĺľe zamÄ›nĂme „Rice University“ za „university of rice“.

Dalšà dĂly:
Rich
Vocabulary – Rindfleischetikettierungsgesetz | MT talks #12
Dependency
Trees in MT – Trees with gaps | MT talks #11
Constituency
Trees in MT – Divide and Conquer | MT talk #10
Phrase-based model – Copy if you can
| MT talk #9
Word alignment – Cutting the
chicken-egg problem | MT talk #8
Sentence alignment – Gale &
Church | MT talk #7
Big
brother | MT talk #6
Happiness
of dreaming camels | MT talk #5
Worker
fell from leader | MT talk #4
Preprocessing
| MT talk #3
Knitting
machine | MT talk #2
Sociable
tanks | MT talk #1
VĂce informacĂ o strojovĂ©m pĹ™ekladu: