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 141150 of 551 papers

TitleStatusHype
Cross-lingual Pronoun Prediction with Linguistically Informed Features0
Cross-lingual Projections between Languages from Different Families0
Cross-Lingual Semantic Similarity of Words as the Similarity of Their Semantic Word Responses0
Cross-lingual Sentiment Lexicon Learning With Bilingual Word Graph Label Propagation0
Cross-lingual Synonymy Overlap0
Cross-lingual Transfer of Semantic Role Labeling Models0
Cross-Lingual Word Alignment for ASEAN Languages with Contrastive Learning0
CUNI Experiments for WMT17 Metrics Task0
DCU-Symantec at the WMT 2013 Quality Estimation Shared Task0
An Analysis of Attention Mechanisms: The Case of Word Sense Disambiguation in Neural Machine Translation0
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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