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 481490 of 551 papers

TitleStatusHype
ALTN: Word Alignment Features for Cross-lingual Textual Entailment0
LIMSI : Cross-lingual Word Sense Disambiguation using Translation Sense Clustering0
Cross-Lingual Semantic Similarity of Words as the Similarity of Their Semantic Word Responses0
Hierarchical Alignment Decomposition Labels for Hiero Grammar Rules0
A Systematic Bayesian Treatment of the IBM Alignment Models0
Umelb: Cross-lingual Textual Entailment with Word Alignment and String Similarity Features0
A Simple, Fast, and Effective Reparameterization of IBM Model 2Code0
Knowledge-Rich Morphological Priors for Bayesian Language Models0
Discriminative Joint Modeling of Lexical Variation and Acoustic Confusion for Automated Narrative Retelling Assessment0
Reversing Morphological Tokenization in English-to-Arabic SMT0
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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