P06-1144 the methods based on document or features translation is the correctness of the proper
D10-1103 the target language . Using the feature translation probabilities , we can derive
P06-1144 results that the one based on feature translation with the same corpora . In addition
W11-2140 Haitian Creole -- English SMS featured translation task . Applying standard statistical
P06-1144 our approach with other based on feature translation , resulting that our approach
D10-1103 s , c ) eλwisf ( wi where feature translation probabilities P ( wit | wis ,
W11-2140 baseline . 1 Introduction For the featured translation task of the Sixth Workshop on
W11-2146 system submitted to the WMT11 Featured Translation Task , which involves translating
P06-1144 with those obtained by means of features translation . We will have to test the algorithm
W11-2103 Featured Translation Task The featured translation task of WMT11 was to translate
P96-1050 highlighted with bold borders . Feature translation occurs through the utilization
N10-1127 ) is completed . 3.2.5 Broken Features Translations do not always respect the constituent
P06-1144 results with other approach based on feature translation . That is why we try MDC by selecting
D10-1103 transla - tions . 3.1 Learning Feature Translation Probabilities with EM Algorithm
W11-2103 Haitian Creole Data For the WMT11 featured translation task , we anonymized the SMS
W12-3153 research papers related to the featured translation task deploy several approaches
E12-1055 English data from the WMT 2011 featured translation task . It consists of emergency
P06-1144 this Section , first the MCD by feature translation is described ; next , the corpus
P06-1144 results are presented . 4.1 MDC by Feature Translation In this approach we emphasize
P06-1144 our approach with other based on features translation , we also dealt with this one
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