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 81–90 of 551 papers

TitleStatusHype
A Bidirectional Transformer Based Alignment Model for Unsupervised Word Alignment—0
ChrEnTranslate: Cherokee-English Machine Translation Demo with Quality Estimation and Corrective FeedbackCode1
Cross-Lingual Named Entity Recognition via FastAlign: a Case Study—0
Improving Pretrained Cross-Lingual Language Models via Self-Labeled Word AlignmentCode1
Cross-language Sentence Selection via Data Augmentation and Rationale Training—0
Neural semi-Markov CRF for Monolingual Word AlignmentCode1
NAST: A Non-Autoregressive Generator with Word Alignment for Unsupervised Text Style TransferCode1
Unifying Cross-Lingual Semantic Role Labeling with Heterogeneous Linguistic ResourcesCode1
Compositional Generalization for Neural Semantic Parsing via Span-level Supervised Attention—0
Word Alignment Dissimilarity Indicator: Alignment Links as Conceptualizations of a Focused Bilingual Lexicon—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Barycenter AlignmentP@184.26—Unverified
2Adv - Refine - CSLSP@181.7—Unverified
#ModelMetricClaimedVerifiedStatus
1Barycenter AlignmentP@182.94—Unverified
2Adv - Refine - CSLSP@182.3—Unverified
#ModelMetricClaimedVerifiedStatus
1Barycenter AlignmentP@183.5—Unverified
2Adv - Refine - CSLSP@183.3—Unverified
#ModelMetricClaimedVerifiedStatus
1Barycenter AlignmentP@183.23—Unverified
2Adv - Refine - CSLSP@182.1—Unverified
#ModelMetricClaimedVerifiedStatus
1Barycenter AlignmentP@181.45—Unverified
#ModelMetricClaimedVerifiedStatus
1Barycenter AlignmentP@174.08—Unverified
#ModelMetricClaimedVerifiedStatus
1Barycenter AlignmentP@184.65—Unverified