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 451460 of 551 papers

TitleStatusHype
Simultaneous Word-Morpheme Alignment for Statistical Machine Translation0
Six Challenges for Neural Machine Translation0
Slavic Forest, Norwegian Wood0
Smaller Alignment Models for Better Translations: Unsupervised Word Alignment with the l0-norm0
Small Model and In-Domain Data Are All You Need0
Smoothing parameter estimation framework for IBM word alignment models0
Source-Side Classifier Preordering for Machine Translation0
Streaming word similarity mining on the cheap0
Structural Supervision for Word Alignment and Machine Translation0
STS-UHH at SemEval-2017 Task 1: Scoring Semantic Textual Similarity Using Supervised and Unsupervised Ensemble0
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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