D09-1051 Then we adapted the bilingual word alignment algorithm to the monolingual scenario to
D09-1051 language . Then the monolingual word alignment algorithm is employed to align the potentially
H05-1012 paper presents a maximum entropy word alignment algorithm for Arabic - English based on
J97-2004 precision rate . This paper presents a word alignment algorithm based on classification in existing
D09-1051 This paper adapts the bilingual word alignment algorithm to monolingual scenario to align
D09-1051 This paper adapts the bilingual word alignment algorithm to monolingual scenario to extract
P02-1052 precision and re - call ) of a word alignment algorithm . The algorithm proved robust
C04-1051 corpus was used as input to the word alignment algorithms available in Giza + + ( Och &
C96-1037 summarized the paper . 2 . The Word Alignment Algorithm 2.1 Preliminary details . SenseAlign
J97-3002 error rates . More sophisticated word alignment algorithms therefore attempt to model the
C04-1051 evaluate both datasets using a word alignment algorithm and a metric borrowed from machine
D09-1023 could be supplied by automatic word alignment algorithms . We chose to leave them hidden
D12-1123 corpus , and we apply the bilingual word alignment algorithm to the monolingual scenario to
D11-1046 Abstract We present an accurate word alignment algorithm that heavily exploits source
C04-1032 ubermorgen ' . We will present a word alignment algorithm which avoids this constraint
N12-1090 words using a French-to-English word alignment algorithm . Next , we identify the mentions
N09-1048 word alignment probability in a word alignment algorithm , Competitive Link . Competitive
C04-1156 language to another . A number of word alignment algorithms have been presented in the literature
C02-1070 source and target languages , and a word alignment algorithm , our approach allows a user
N12-1090 Postolache et al. ( 2006 ) apply a word alignment algorithm to project the hand-annotated
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