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
Semeval-2013 Task 8: Cross-lingual Textual Entailment for Content Synchronization0
Semi-Markov Phrase-Based Monolingual Alignment0
Sensible: L2 Translation Assistance by Emulating the Manual Post-Editing Process0
Sentence-level dialects identification in the greater China region0
Sheffield Systems for the English-Romanian WMT Translation Task0
Show Me Your Variance and I Tell You Who You Are - Deriving Compound Compositionality from Word Alignments0
SimiHawk at SemEval-2016 Task 1: A Deep Ensemble System for Semantic Textual Similarity0
Similar Southeast Asian Languages: Corpus-Based Case Study on Thai-Laotian and Malay-Indonesian0
Simple and Effective Approach for Consistent Training of Hierarchical Phrase-based Translation Models0
Simple extensions and POS Tags for a reparameterised IBM Model 20
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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