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 361370 of 551 papers

TitleStatusHype
System Description: Dependency-based Pre-ordering for Japanese-Chinese Machine Translation0
GWU-HASP: Hybrid Arabic Spelling and Punctuation Corrector0
Cross-lingual Dependency Parsing of Related Languages with Rich Morphosyntactic Tagsets0
Improving Word Alignment using Word Similarity0
Type-based MCMC for Sampling Tree Fragments from Forests0
Refining Word Segmentation Using a Manually Aligned Corpus for Statistical Machine Translation0
Weakly-Supervised Learning with Cost-Augmented Contrastive Estimation0
Probabilistic Models of Cross-Lingual Semantic Similarity in Context Based on Latent Cross-Lingual Concepts Induced from Comparable Data0
Learning Hierarchical Translation Spans0
Beyond Parallel Data: Joint Word Alignment and Decipherment Improves 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