W12-4212 algorithm ( 1993 ) applied for clause alignment . The performance of this flexible
W12-4212 resource light flexible method for clause alignment which combines the Gale-Church
W10-1762 additional conditions with oracle clause alignment were also tested for reference
W10-1762 clause . In descending order of the clause alignment score , we greedily determine
W10-1762 . 2 . We propose an automatic clause alignment algorithm , by which our approach
W10-1762 . We also present an automatic clause alignment algorithm that can be applied
W11-4302 Further , the corpus includes manual clause alignment . For the time being , GECCo
W10-1762 difference between automatic and manual clause alignment . Since auto - aligned corpus
W12-4212 tagging and shallow parsing ) and clause alignment based on pure statistical analysis
E14-2018 ` space ' button . Thus a new clause alignment bead is created . 3 Applications
W10-1762 development sentences had oracle clause alignment for MERT . We also used the Life
W12-4212 specially designed test corpus . The clause alignment is explored as means to provide
W12-4212 support . <title> Application of Clause Alignment for Statistical Machine Translation
E14-2018 sentence alignment ; &#8226; manual clause alignment . Automated sentence alignment
W12-4212 appropriate for resource light clause alignment . We experiment with a combination
W10-1762 called oracle-aligned clauses . The clause alignment error rate of the auto-aligned
W10-1762 this paper , we imagine better clause alignment can be obtained with some supervised
W10-1762 sophisticated method for automatic clause alignment if we are to use the proposed
E14-2018 self-sufficient module for annotation and clause alignment within the multi-functional platform
W10-1762 simple method for dealing with clause alignment data from scratch , using only
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