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 1120 of 551 papers

TitleStatusHype
DELTA: Pre-train a Discriminative Encoder for Legal Case Retrieval via Structural Word Alignment0
Cross-lingual Contextualized Phrase RetrievalCode0
Multilingual Coreference Resolution in Low-resource South Asian LanguagesCode0
Self-Augmented In-Context Learning for Unsupervised Word TranslationCode0
Constrained Decoding for Cross-lingual Label ProjectionCode0
Salute the Classic: Revisiting Challenges of Machine Translation in the Age of Large Language ModelsCode0
Exploring Region-Word Alignment in Built-in Detector for Open-Vocabulary Object Detection0
Linguistic-Aware Patch Slimming Framework for Fine-grained Cross-Modal AlignmentCode2
Aligning and Prompting Everything All at Once for Universal Visual PerceptionCode2
Unsupervised Graph Attention Autoencoder for Attributed Networks using K-means Loss0
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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