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 441450 of 551 papers

TitleStatusHype
Using unlabeled dependency parsing for pre-reordering for Chinese-to-Japanese statistical machine translation0
FBK-UEdin Participation to the WMT13 Quality Estimation Shared Task0
A Hybrid Word Alignment Model for Phrase-Based Statistical Machine Translation0
Experiments with POS-based restructuring and alignment-based reordering for statistical machine translation0
Length-Incremental Phrase Training for SMT0
Improving English-Russian sentence alignment through POS tagging and Damerau-Levenshtein distance0
Multi-Rate HMMs for Word Alignment0
The Karlsruhe Institute of Technology Translation Systems for the WMT 20130
Bilingual Lexicon Extraction via Pivot Language and Word Alignment Tool0
Hidden Markov Tree Model for 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