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 471480 of 551 papers

TitleStatusHype
A Novel Graph-based Compact Representation of Word Alignment0
An Information Theoretic Approach to Bilingual Word Clustering0
A Lightweight and High Performance Monolingual Word Aligner0
Exact Maximum Inference for the Fertility Hidden Markov Model0
Exploiting Qualitative Information from Automatic Word Alignment for Cross-lingual NLP Tasks0
Training Nondeficient Variants of IBM-3 and IBM-4 for Word Alignment0
Name-aware Machine Translation0
Word Alignment Modeling with Context Dependent Deep Neural Network0
A Markov Model of Machine Translation using Non-parametric Bayesian Inference0
Combining Top-down and Bottom-up Search for Unsupervised Induction of Transduction Grammars0
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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