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 181190 of 551 papers

TitleStatusHype
English-French Verb Phrase Alignment in Europarl for Tense Translation Modeling0
English-to-Russian MT evaluation campaign0
Enhanced and Portable Dependency Projection Algorithms Using Interlinear Glossed Text0
Enhancing Cross-lingual Sentence Embedding for Low-resource Languages with Word Alignment0
Enhancing Statistical Machine Translation with Character Alignment0
Investigating the Role of Attribute Context in Vision-Language Models for Object Recognition and Detection0
Enlisting the Ghost: Modeling Empty Categories for Machine Translation0
Enriching the Swedish Sign Language Corpus with Part of Speech Tags Using Joint Bayesian Word Alignment and Annotation Transfer0
EntityCS: Improving Zero-Shot Cross-lingual Transfer with Entity-Centric Code Switching0
Bilingual Lexicon Induction via Unsupervised Bitext Construction and Word Alignment0
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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