multi lingual phrase based statistical machine translation for arabic english ahmedbastawisy and mohamedelmahdy computerscience department germanuniversity in cairo cairo egypt ahmed bastawisy student guc edu eg mohamed elmahdy guc edu ...
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...Multi lingual phrase based statistical machine translation for arabic english ahmedbastawisy and mohamedelmahdy computerscience department germanuniversity in cairo egypt ahmed bastawisy student guc edu eg mohamed elmahdy abstract people msa is used news broadcasts newspapers formal speech books movies subti this paper we implement a tling whenever the target audience or readers comefromdifferent nationalities however smt system trans not natural language everyday life com lation text can be categorized munications on social networks fact di into standard dialectal these alectal usually case two forms of differ signicantly major problem all lan different mono guage processing tasks particular statis hybrid approaches are compared tical existence systems do always result dialects there exist signicant syn better accuracy one ara tactic morphological lexical differences bic form poor other tweenmsaandthedifferentarabicdialects that smtmodelsthataretrained why they sometimes considered as...