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 351360 of 551 papers

TitleStatusHype
Enriching the Swedish Sign Language Corpus with Part of Speech Tags Using Joint Bayesian Word Alignment and Annotation Transfer0
Word Alignment Based Parallel Corpora Evaluation and Cleaning Using Machine Learning Techniques0
An Optimal Quadratic Approach to Monolingual Paraphrase Alignment0
Cross-lingual Sentiment Lexicon Learning With Bilingual Word Graph Label Propagation0
TakeTwo: A Word Aligner based on Self Learning0
PaCMan : Parallel Corpus Management Workbench0
Conditional Random Field Autoencoders for Unsupervised Structured PredictionCode0
Paraphrase Detection for Short Answer Scoring0
Addressing the Rare Word Problem in Neural Machine TranslationCode0
Contrastive Unsupervised Word Alignment with Non-Local Features0
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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