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 211220 of 551 papers

TitleStatusHype
Feature-Based Decipherment for Machine Translation0
Forced Derivation Tree based Model Training to Statistical Machine Translation0
FrameNet Annotations Alignment using Attention-based Machine Translation0
An Analysis of Attention Mechanisms: The Case of Word Sense Disambiguation in Neural Machine Translation0
Cross-Lingual Named Entity Recognition via FastAlign: a Case Study0
Generalized Agreement for Bidirectional Word Alignment0
Cross-lingual Model Transfer Using Feature Representation Projection0
Generative latent neural models for automatic word alignment0
ATOGAN:Adaptive Training Objective Generative Adversarial Network for Cross-lingual Word Alignment in Non-Isomorphic Embedding Spaces0
Automatic word alignment tools to scale production of manually aligned parallel texts0
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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