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 131140 of 551 papers

TitleStatusHype
Attention is Not Only a Weight: Analyzing Transformers with Vector NormsCode1
SimAlign: High Quality Word Alignments without Parallel Training Data using Static and Contextualized EmbeddingsCode1
A Simple Approach to Learning Unsupervised Multilingual Embeddings0
On the Language Neutrality of Pre-trained Multilingual RepresentationsCode0
Locality Preserving Loss: Neighbors that Live together, Align together0
Unsupervised Multilingual Alignment using Wasserstein BarycenterCode0
Weak Supervision helps Emergence of Word-Object Alignment and improves Vision-Language Tasks0
How Language-Neutral is Multilingual BERT?Code0
Unsupervised Hierarchy Matching with Optimal Transport over Hyperbolic Spaces0
Improving Latent Alignment in Text Summarization by Generalizing the Pointer Generator0
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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