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 110 of 551 papers

TitleStatusHype
Linguistic-Aware Patch Slimming Framework for Fine-grained Cross-Modal AlignmentCode2
Aligning and Prompting Everything All at Once for Universal Visual PerceptionCode2
PortaSpeech: Portable and High-Quality Generative Text-to-SpeechCode2
BinaryAlign: Word Alignment as Binary Sequence LabelingCode1
Image-Text Co-Decomposition for Text-Supervised Semantic SegmentationCode1
CoDet: Co-Occurrence Guided Region-Word Alignment for Open-Vocabulary Object DetectionCode1
On Bilingual Lexicon Induction with Large Language ModelsCode1
Improving Translation Faithfulness of Large Language Models via Augmenting InstructionsCode1
WSPAlign: Word Alignment Pre-training via Large-Scale Weakly Supervised Span PredictionCode1
Unbalanced Optimal Transport for Unbalanced Word AlignmentCode1
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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