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 241250 of 551 papers

TitleStatusHype
IISCNLP at SemEval-2016 Task 2: Interpretable STS with ILP based Multiple Chunk Aligner0
Illinois-LH: A Denotational and Distributional Approach to Semantics0
Cross-Lingual Dependency Parsing with Universal Dependencies and Predicted PoS Labels0
Improved Semantic-Aware Network Embedding with Fine-Grained Word Alignment0
Automatic Parallel Fragment Extraction from Noisy Data0
Improving Chinese-English PropBank Alignment0
Improving Chinese Grammatical Error Correction with Corpus Augmentation and Hierarchical Phrase-based Statistical Machine Translation0
Improving Dependency Parsing with Interlinear Glossed Text and Syntactic Projection0
Contextualized Word Vector-based Methods for Discovering Semantic Differences with No Training nor Word Alignment0
Cross-lingual Dependency Parsing of Related Languages with Rich Morphosyntactic Tagsets0
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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