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 531540 of 551 papers

TitleStatusHype
Utilizing Language-Image Pretraining for Efficient and Robust Bilingual Word AlignmentCode0
A Simple, Fast, and Effective Reparameterization of IBM Model 2Code0
Unsupervised Multilingual Alignment using Wasserstein BarycenterCode0
Multilingual Coreference Resolution in Low-resource South Asian LanguagesCode0
Multilingual Distributed Representations without Word AlignmentCode0
An Operation Sequence Model for Explainable Neural Machine TranslationCode0
Kneser-Ney Smoothing on Expected CountsCode0
Conditional Random Field Autoencoders for Unsupervised Structured PredictionCode0
Sub-Word Alignment Is Still Useful: A Vest-Pocket Method for Enhancing Low-Resource Machine TranslationCode0
AlignAtt: Using Attention-based Audio-Translation Alignments as a Guide for Simultaneous Speech TranslationCode0
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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