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 411420 of 551 papers

TitleStatusHype
Unsupervised Hierarchy Matching with Optimal Transport over Hyperbolic Spaces0
Unsupervised Transduction Grammar Induction via Minimum Description Length0
Unsupervised Translation Sense Clustering0
Unsupervised Word Alignment by Agreement Under ITG Constraint0
Unsupervised Word Alignment Using Frequency Constraint in Posterior Regularized EM0
USAAR: An Operation Sequential Model for Automatic Statistical Post-Editing0
USAAR-SAPE: An English--Spanish Statistical Automatic Post-Editing System0
USFD at SemEval-2016 Task 1: Putting different State-of-the-Arts into a Box0
Using English Baits to Catch Serbian Multi-Word Terminology0
Using Morphemes from Agglutinative Languages like Quechua and Finnish to Aid in Low-Resource 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