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
Samsung: Align-and-Differentiate Approach to Semantic Textual Similarity0
Multi-Level Alignments As An Extensible Representation Basis for Textual Entailment Algorithms0
A Pilot Experiment on Exploiting Translations for Literary Studies on Kafka's ``Verwandlung''0
A Preliminary Evaluation of the Impact of Syntactic Structure in Semantic Textual Similarity and Semantic Relatedness Tasks0
FBK-HLT: A New Framework for Semantic Textual Similarity0
Latent Domain Word Alignment for Heterogeneous Corpora0
Multi-Task Word Alignment Triangulation for Low-Resource Languages0
Model Invertibility Regularization: Sequence Alignment With or Without Parallel Data0
Improving the Cross-Lingual Projection of Syntactic Dependencies0
Fast and Accurate Preordering for SMT using Neural Networks0
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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