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 3140 of 551 papers

TitleStatusHype
Neural semi-Markov CRF for Monolingual Word AlignmentCode1
Improving Pretrained Cross-Lingual Language Models via Self-Labeled Word AlignmentCode1
Attention is Not Only a Weight: Analyzing Transformers with Vector NormsCode1
Improving Word Translation via Two-Stage Contrastive LearningCode1
Sparse Attention with Linear UnitsCode1
Learning To Generate Language-Supervised and Open-Vocabulary Scene Graph Using Pre-Trained Visual-Semantic SpaceCode1
Mask-Align: Self-Supervised Neural Word AlignmentCode1
Guided Alignment Training for Topic-Aware Neural Machine TranslationCode0
How Language-Neutral is Multilingual BERT?Code0
FastEmit: Low-latency Streaming ASR with Sequence-level Emission RegularizationCode0
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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