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 261270 of 551 papers

TitleStatusHype
Bilingual Embeddings and Word Alignments for Translation Quality Estimation0
DELTA: Pre-train a Discriminative Encoder for Legal Case Retrieval via Structural Word Alignment0
Deep API Learning0
Bilingual Data Cleaning for SMT using Graph-based Random Walk0
An Empirical Study of Diversity of Word Alignment and its Symmetrization Techniques for System Combination0
Decipherment0
DCU-Symantec at the WMT 2013 Quality Estimation Shared Task0
Bidirectional American Sign Language to English Translation0
CUNI Experiments for WMT17 Metrics Task0
Cross-Lingual Word Alignment for ASEAN Languages with Contrastive Learning0
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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