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
Investigating Connectivity and Consistency Criteria for Phrase Pair Extraction in Statistical Machine Translation0
Multilingual WSD-like Constraints for Paraphrase Extraction0
Multi-Rate HMMs for Word Alignment0
Munich-Edinburgh-Stuttgart Submissions at WMT13: Morphological and Syntactic Processing for SMT0
Name-aware Machine Translation0
Improving English-Russian sentence alignment through POS tagging and Damerau-Levenshtein distance0
Hidden Markov Tree Model for Word Alignment0
Yandex School of Data Analysis Machine Translation Systems for WMT130
FBK-UEdin Participation to the WMT13 Quality Estimation Shared Task0
Exploiting Qualitative Information from Automatic Word Alignment for Cross-lingual NLP Tasks0
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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