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 361370 of 551 papers

TitleStatusHype
Weakly-Supervised Learning with Cost-Augmented Contrastive Estimation0
Type-based MCMC for Sampling Tree Fragments from Forests0
Probabilistic Models of Cross-Lingual Semantic Similarity in Context Based on Latent Cross-Lingual Concepts Induced from Comparable Data0
Refining Word Segmentation Using a Manually Aligned Corpus for Statistical Machine Translation0
GWU-HASP: Hybrid Arabic Spelling and Punctuation Corrector0
Transformation from Discontinuous to Continuous Word Alignment Improves Translation Quality0
Improving Word Alignment using Word Similarity0
Unsupervised Word Alignment Using Frequency Constraint in Posterior Regularized EM0
Beyond Parallel Data: Joint Word Alignment and Decipherment Improves Machine Translation0
System Description: Dependency-based Pre-ordering for Japanese-Chinese Machine Translation0
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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