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 2650 of 551 papers

TitleStatusHype
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