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
Tree-based Translation without using Parse Trees0
Improving Dependency Parsing with Interlinear Glossed Text and Syntactic Projection0
Tibetan Base Noun Phrase Identification Framework Based on Chinese-Tibetan Sentence Aligned Corpus0
A Beam Search Algorithm for ITG Word Alignment0
Semantics-Based Machine Translation with Hyperedge Replacement Grammars0
Partially modelling word reordering as a sequence labelling problem0
Constrained Hidden Markov Model for Bilingual Keyword Pairs Alignment0
Handling Indonesian Clitics: A Dataset Comparison for an Indonesian-English Statistical Machine Translation System0
Bringing the Associative Ability to Social Tag Recommendation0
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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