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 2130 of 551 papers

TitleStatusHype
CoDet: Co-Occurrence Guided Region-Word Alignment for Open-Vocabulary Object DetectionCode1
On Bilingual Lexicon Induction with Large Language ModelsCode1
Terminology-Aware Translation with Constrained Decoding and Large Language Model Prompting0
Improving Translation Faithfulness of Large Language Models via Augmenting InstructionsCode1
Gloss Alignment Using Word Embeddings0
Does mBERT understand Romansh? Evaluating word embeddings using word alignmentCode0
Towards Arabic Multimodal Dataset for Sentiment AnalysisCode0
WSPAlign: Word Alignment Pre-training via Large-Scale Weakly Supervised Span PredictionCode1
Unbalanced Optimal Transport for Unbalanced Word AlignmentCode1
Do GPTs Produce Less Literal Translations?Code0
Show:102550
← PrevPage 3 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