SOTAVerified

Word Alignment

Word Alignment is the task of finding the correspondence between source and target words in a pair of sentences that are translations of each other.

Source: Neural Network-based Word Alignment through Score Aggregation

Papers

Showing 391400 of 551 papers

TitleStatusHype
Training Nondeficient Variants of IBM-3 and IBM-4 for Word Alignment0
Transferring Semantic Roles Using Translation and Syntactic Information0
Transformation from Discontinuous to Continuous Word Alignment Improves Translation Quality0
Transformer-based Automatic Post-Editing with a Context-Aware Encoding Approach for Multi-Source Inputs0
Translation Class Instruction as Collaboration in the Act of Translation0
Translation Model Size Reduction for Hierarchical Phrase-based Statistical Machine Translation0
Treebank Translation for Cross-Lingual Parser Induction0
Tree-based Translation without using Parse Trees0
Two-Neighbor Orientation Model with Cross-Boundary Global Contexts0
Type-based MCMC for Sampling Tree Fragments from Forests0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Barycenter AlignmentP@184.26Unverified
2Adv - Refine - CSLSP@181.7Unverified
#ModelMetricClaimedVerifiedStatus
1Barycenter AlignmentP@182.94Unverified
2Adv - Refine - CSLSP@182.3Unverified
#ModelMetricClaimedVerifiedStatus
1Barycenter AlignmentP@183.5Unverified
2Adv - Refine - CSLSP@183.3Unverified
#ModelMetricClaimedVerifiedStatus
1Barycenter AlignmentP@183.23Unverified
2Adv - Refine - CSLSP@182.1Unverified
#ModelMetricClaimedVerifiedStatus
1Barycenter AlignmentP@181.45Unverified
#ModelMetricClaimedVerifiedStatus
1Barycenter AlignmentP@174.08Unverified
#ModelMetricClaimedVerifiedStatus
1Barycenter AlignmentP@184.65Unverified