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 341350 of 551 papers

TitleStatusHype
LanguageNet: Learning to Find Sense Relevant Example Sentences0
Large Multi-lingual, Multi-level and Multi-genre Annotation Corpus0
Large-scale Word Alignment Using Soft Dependency Cohesion Constraints0
Latent Domain Word Alignment for Heterogeneous Corpora0
Learning aligned embeddings for semi-supervised word translation using Maximum Mean Discrepancy0
Learning Better Rule Extraction with Translation Span Alignment0
Learning Bilingual Word Embeddings Using Lexical Definitions0
Learning Hierarchical Translation Spans0
Learning Language Structures through Grounding0
Learning the Impact and Behavior of Syntactic Structure: A Case Study in Semantic Textual Similarity0
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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