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 431440 of 551 papers

TitleStatusHype
RICOH at SemEval-2016 Task 1: IR-based Semantic Textual Similarity Estimation0
Samsung: Align-and-Differentiate Approach to Semantic Textual Similarity0
Scaling Up Word Clustering0
Semantic Parsing as Machine Translation0
Semantic Parsing via l_0-norm-based Alignment0
Semantic Role Labelling with minimal resources: Experiments with French0
Semantics-Based Machine Translation with Hyperedge Replacement Grammars0
Semantics-based pretranslation for SMT using fuzzy matches0
SemantiKLUE: Robust Semantic Similarity at Multiple Levels Using Maximum Weight Matching0
SemantiKLUE: Semantic Textual Similarity with Maximum Weight Matching0
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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