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 111120 of 551 papers

TitleStatusHype
Combining Multiple Alignments to Improve Machine Translation0
Combining Top-down and Bottom-up Search for Unsupervised Induction of Transduction Grammars0
Combining Word-Level and Character-Level Models for Machine Translation Between Closely-Related Languages0
Compositional Generalization for Neural Semantic Parsing via Span-level Supervised Attention0
Computational analysis of Gondi dialects0
Computational Integration of Human Vision and Natural Language through Bitext Alignment0
Concavity and Initialization for Unsupervised Dependency Parsing0
Atril: an XML Visualization System for Corpus Texts0
An Information Theoretic Approach to Bilingual Word Clustering0
Bilingual Embeddings and Word Alignments for Translation Quality Estimation0
Show:102550
← PrevPage 12 of 56Next →

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