P06-1091 presents results on a standard Arabic-English translation task . Finally , some discussion
P06-1091 algorithm is evaluated on a standard Arabic-English translation task . 1 Introduction . This
P05-1069 shows experimental results on an Arabic-English translation task . Section 6 presents a final
N09-1013 perform experiments on the NIST Arabic-English translation task . The mt02 05 tune and mt02
N07-1008 state-of-the-art phrase-based decoder in Arabic-English translation . 2 Related Work Most recent
N04-4026 experimental results on a standard Arabic-English translation task . 1 Introduction In recent
E12-1045 effect of our best hybrid LM on Arabic-English translation quality , at the single talk
D15-1254 effect of different dialects on Arabic-English translation . We ask humans to translate
D09-1074 was evaluated in the context of Arabic-English translation , on multiple conditions . It
P08-1114 BLEU . 4.2 Arabic-English For Arabic-English translation , we used the training corpora
P06-1091 For example , Figure 1 shows an Arabic-English translation example that uses four blocks
P05-1069 For example , Fig. 1 shows an Arabic-English translation example that uses a8 blocks .
N10-1029 is standard evaluation data for Arabic-English translation . The first English reference
P08-1114 obtaining substantial gains for Arabic-English translation , as well . Our results contribute
D09-1074 provide significant improvements in Arabic-English translation on various conditions , using
D15-1287 results for Chinese-English and Arabic-English translation experiments are presented in
N12-1061 large-scale Chinese-English and Arabic-English translation tasks and show significant improvements
N03-4001 system achieves state-of-the-art Arabic-English translation quality . 4 . Arabic named entity
P08-1114 performance for both Chinese-English and Arabic-English translation . In Section 2 , we briefly review
P06-1067 respectively . Table 6 shows some Arabic-English translation examples using our decoder with
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