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 511520 of 551 papers

TitleStatusHype
MirrorAlign: A Super Lightweight Unsupervised Word Alignment Model via Cross-Lingual Contrastive LearningCode0
FastEmit: Low-latency Streaming ASR with Sequence-level Emission RegularizationCode0
Creating a Translation Matrix of the Bible's Names Across 591 LanguagesCode0
Noisy Parallel Data AlignmentCode0
Towards Arabic Multimodal Dataset for Sentiment AnalysisCode0
Building Named Entity Recognition Taggers via Parallel CorporaCode0
Embedding-Enhanced Giza++: Improving Alignment in Low- and High- Resource Scenarios Using Embedding Space GeometryCode0
Do GPTs Produce Less Literal Translations?Code0
Low-resource Bilingual Dialect Lexicon Induction with Large Language ModelsCode0
CEA LIST: Processing Low-Resource Languages for CoNLL 2018Code0
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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