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 1120 of 551 papers

TitleStatusHype
Image-Text Co-Decomposition for Text-Supervised Semantic SegmentationCode1
Improving Bilingual Lexicon Induction with Cross-Encoder RerankingCode1
Improving Translation Faithfulness of Large Language Models via Augmenting InstructionsCode1
Improving Word Translation via Two-Stage Contrastive LearningCode1
Attention is Not Only a Weight: Analyzing Transformers with Vector NormsCode1
BinaryAlign: Word Alignment as Binary Sequence LabelingCode1
ChrEnTranslate: Cherokee-English Machine Translation Demo with Quality Estimation and Corrective FeedbackCode1
CoDet: Co-Occurrence Guided Region-Word Alignment for Open-Vocabulary Object DetectionCode1
Counterfactual Variable Control for Robust and Interpretable Question AnsweringCode1
Correspondence Matters for Video Referring Expression ComprehensionCode1
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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