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 5160 of 551 papers

TitleStatusHype
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
Unsupervised Graph Attention Autoencoder for Attributed Networks using K-means Loss0
Terminology-Aware Translation with Constrained Decoding and Large Language Model Prompting0
Gloss Alignment Using Word Embeddings0
Does mBERT understand Romansh? Evaluating word embeddings using word alignmentCode0
Towards Arabic Multimodal Dataset for Sentiment AnalysisCode0
Do GPTs Produce Less Literal Translations?Code0
Towards Unsupervised Recognition of Token-level Semantic Differences in Related DocumentsCode0
AlignAtt: Using Attention-based Audio-Translation Alignments as a Guide for Simultaneous Speech TranslationCode0
Show:102550
← PrevPage 6 of 56Next →

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