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 501510 of 551 papers

TitleStatusHype
Alignment by Bilingual Generation and Monolingual Derivation0
Constrained Hidden Markov Model for Bilingual Keyword Pairs Alignment0
Improving Dependency Parsing with Interlinear Glossed Text and Syntactic Projection0
Tibetan Base Noun Phrase Identification Framework Based on Chinese-Tibetan Sentence Aligned Corpus0
Combining Multiple Alignments to Improve Machine Translation0
A Beam Search Algorithm for ITG Word Alignment0
Tree-based Translation without using Parse Trees0
Cross-Lingual Identification of Ambiguous Discourse Connectives for Resource-Poor Language0
Handling Indonesian Clitics: A Dataset Comparison for an Indonesian-English Statistical Machine Translation System0
Learning Better Rule Extraction with Translation Span 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