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 91100 of 551 papers

TitleStatusHype
Monotonic Simultaneous Translation with Chunk-wise Reordering and Refinement0
Using Optimal Transport as Alignment Objective for fine-tuning Multilingual Contextualized Embeddings0
Attention Weights in Transformer NMT Fail Aligning Words Between Sequences but Largely Explain Model Predictions0
Mitigating Language-Dependent Ethnic Bias in BERTCode0
English-Arabic Cross-language Plagiarism Detection0
A Bidirectional Transformer Based Alignment Model for Unsupervised Word Alignment0
Machine Translation with Pre-specified Target-side Words Using a Semi-autoregressive Model0
Optimizing Word Alignments with Better Subword Tokenization0
Cross-Lingual Named Entity Recognition via FastAlign: a Case Study0
Cross-language Sentence Selection via Data Augmentation and Rationale Training0
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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