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 5160 of 551 papers

TitleStatusHype
A Study on Bootstrapping Bilingual Vector Spaces from Non-Parallel Data (and Nothing Else)0
A Supervised Word Alignment Method based on Cross-Language Span Prediction using Multilingual BERT0
A Simple Approach to Learning Unsupervised Multilingual Embeddings0
ATOGAN:Adaptive Training Objective Generative Adversarial Network for Cross-lingual Word Alignment in Non-Isomorphic Embedding Spaces0
A Tool for a High-Carat Gold-Standard Word Alignment0
A Topic-Triggered Language Model for Statistical Machine Translation0
A Tree Transducer Model for Grammatical Error Correction0
Atril: an XML Visualization System for Corpus Texts0
A Recursive Recurrent Neural Network for Statistical Machine Translation0
Alibaba Submission to the WMT20 Parallel Corpus Filtering Task0
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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