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

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Showing 401–425 of 551 papers

TitleStatusHype
Subword Sampling for Low Resource Word Alignment—0
Umelb: Cross-lingual Textual Entailment with Word Alignment and String Similarity Features—0
Unified Expectation Maximization—0
Unsupervised and Lightly Supervised Part-of-Speech Tagging Using Recurrent Neural Networks—0
Unsupervised Coreference Resolution by Utilizing the Most Informative Relations—0
Unsupervised Cross-Lingual Part-of-Speech Tagging for Truly Low-Resource Scenarios—0
Unsupervised Cross-lingual Word Embedding by Multilingual Neural Language Models—0
Unsupervised Event Clustering and Aggregation from Newswire and Web Articles—0
Unsupervised False Friend Disambiguation Using Contextual Word Clusters and Parallel Word Alignments—0
Unsupervised Graph Attention Autoencoder for Attributed Networks using K-means Loss—0
Unsupervised Hierarchy Matching with Optimal Transport over Hyperbolic Spaces—0
Unsupervised Transduction Grammar Induction via Minimum Description Length—0
Unsupervised Translation Sense Clustering—0
Unsupervised Word Alignment by Agreement Under ITG Constraint—0
Unsupervised Word Alignment Using Frequency Constraint in Posterior Regularized EM—0
USAAR: An Operation Sequential Model for Automatic Statistical Post-Editing—0
USAAR-SAPE: An English--Spanish Statistical Automatic Post-Editing System—0
USFD at SemEval-2016 Task 1: Putting different State-of-the-Arts into a Box—0
Using English Baits to Catch Serbian Multi-Word Terminology—0
Using Morphemes from Agglutinative Languages like Quechua and Finnish to Aid in Low-Resource Translation—0
Using Multilingual Topic Models for Improved Alignment in English-Hindi MT—0
Using Optimal Transport as Alignment Objective for fine-tuning Multilingual Contextualized Embeddings—0
Using Parallel Corpora for Word Sense Disambiguation—0
Using Senses in HMM Word Alignment—0
Using Transliteration of Proper Names from Arabic to Latin Script to Improve English-Arabic Word Alignment—0
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All datasetsen-esen-fres-enfr-enen-itMUSE en-deMUSE en-pt

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