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 150 of 551 papers

TitleStatusHype
Aligning and Prompting Everything All at Once for Universal Visual PerceptionCode2
Linguistic-Aware Patch Slimming Framework for Fine-grained Cross-Modal AlignmentCode2
PortaSpeech: Portable and High-Quality Generative Text-to-SpeechCode2
CoDet: Co-Occurrence Guided Region-Word Alignment for Open-Vocabulary Object DetectionCode1
Unbalanced Optimal Transport for Unbalanced Word AlignmentCode1
Conversational Word Embedding for Retrieval-Based Dialog SystemCode1
Improving Pretrained Cross-Lingual Language Models via Self-Labeled Word AlignmentCode1
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
Improving Bilingual Lexicon Induction with Cross-Encoder RerankingCode1
WSPAlign: Word Alignment Pre-training via Large-Scale Weakly Supervised Span PredictionCode1
Frustratingly Easy Label Projection for Cross-lingual TransferCode1
Improving Word Translation via Two-Stage Contrastive LearningCode1
Correspondence Matters for Video Referring Expression ComprehensionCode1
Multilingual Sentence Transformer as A Multilingual Word AlignerCode1
Attention is Not Only a Weight: Analyzing Transformers with Vector NormsCode1
On Bilingual Lexicon Induction with Large Language ModelsCode1
Revitalize Region Feature for Democratizing Video-Language Pre-training of RetrievalCode1
Counterfactual Variable Control for Robust and Interpretable Question AnsweringCode1
Unifying Cross-Lingual Semantic Role Labeling with Heterogeneous Linguistic ResourcesCode1
Word Rotator's DistanceCode1
Zero-Shot Cross-lingual Semantic ParsingCode1
Learning To Generate Language-Supervised and Open-Vocabulary Scene Graph Using Pre-Trained Visual-Semantic SpaceCode1
End-to-End Slot Alignment and Recognition for Cross-Lingual NLUCode1
Word Alignment by Fine-tuning Embeddings on Parallel CorporaCode1
Graph Algorithms for Multiparallel Word AlignmentCode1
Improving Translation Faithfulness of Large Language Models via Augmenting InstructionsCode1
Improving Word Translation via Two-Stage Contrastive LearningCode1
Learning Contextualised Cross-lingual Word Embeddings and Alignments for Extremely Low-Resource Languages Using Parallel CorporaCode1
Cross-Align: Modeling Deep Cross-lingual Interactions for Word AlignmentCode1
NAST: A Non-Autoregressive Generator with Word Alignment for Unsupervised Text Style TransferCode1
Sparse Attention with Linear UnitsCode1
Mask-Align: Self-Supervised Neural Word AlignmentCode1
BinaryAlign: Word Alignment as Binary Sequence LabelingCode1
Neural semi-Markov CRF for Monolingual Word AlignmentCode1
ChrEnTranslate: Cherokee-English Machine Translation Demo with Quality Estimation and Corrective FeedbackCode1
Image-Text Co-Decomposition for Text-Supervised Semantic SegmentationCode1
Kneser-Ney Smoothing on Expected CountsCode0
Jointly Learning to Align and Translate with Transformer ModelsCode0
Large Language Models Often Say One Thing and Do AnotherCode0
AlignAtt: Using Attention-based Audio-Translation Alignments as a Guide for Simultaneous Speech TranslationCode0
Addressing the Rare Word Problem in Neural Machine TranslationCode0
A Simple, Fast, and Effective Reparameterization of IBM Model 2Code0
How Language-Neutral is Multilingual BERT?Code0
Guided Alignment Training for Topic-Aware Neural Machine TranslationCode0
Improving Discourse Relation Projection to Build Discourse Annotated CorporaCode0
Embedding-Enhanced Giza++: Improving Alignment in Low- and High- Resource Scenarios Using Embedding Space GeometryCode0
FastEmit: Low-latency Streaming ASR with Sequence-level Emission RegularizationCode0
Does mBERT understand Romansh? Evaluating word embeddings using word alignmentCode0
Adding Interpretable Attention to Neural Translation Models Improves Word AlignmentCode0
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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