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 3140 of 551 papers

TitleStatusHype
Counterfactual Variable Control for Robust and Interpretable Question AnsweringCode1
Word Rotator's DistanceCode1
End-to-End Slot Alignment and Recognition for Cross-Lingual NLUCode1
Conversational Word Embedding for Retrieval-Based Dialog SystemCode1
Attention is Not Only a Weight: Analyzing Transformers with Vector NormsCode1
SimAlign: High Quality Word Alignments without Parallel Training Data using Static and Contextualized EmbeddingsCode1
Unsupervised Multilingual Word Embedding with Limited Resources using Neural Language ModelsCode1
The Devil Is in the Word Alignment Details: On Translation-Based Cross-Lingual Transfer for Token Classification TasksCode0
Large Language Models Often Say One Thing and Do AnotherCode0
Target word activity detector: An approach to obtain ASR word boundaries without lexicon0
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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