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 491500 of 551 papers

TitleStatusHype
Simultaneous Word-Morpheme Alignment for Statistical Machine Translation0
Combining Top-down and Bottom-up Search for Unsupervised Induction of Transduction Grammars0
WSD2: Parameter optimisation for Memory-based Cross-Lingual Word-Sense Disambiguation0
Semeval-2013 Task 8: Cross-lingual Textual Entailment for Content Synchronization0
Distant annotation of Chinese tense and modality0
Large-scale Word Alignment Using Soft Dependency Cohesion Constraints0
Dual Coordinate Descent Algorithms for Efficient Large Margin Structured Prediction0
Learning to translate with products of novices: a suite of open-ended challenge problems for teaching MT0
Semantics-Based Machine Translation with Hyperedge Replacement Grammars0
Partially modelling word reordering as a sequence labelling problem0
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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