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 221230 of 551 papers

TitleStatusHype
Neural Networks for Negation Cue Detection in Chinese0
Discovering Light Verb Constructions and their Translations from Parallel Corpora without Word Alignment0
Slavic Forest, Norwegian Wood0
CORBON 2017 Shared Task: Projection-Based Coreference Resolution0
Addressing Problems across Linguistic Levels in SMT: Combining Approaches to Model Morphology, Syntax and Lexical Choice0
A Web-Based Interactive Tool for Creating, Inspecting, Editing, and Publishing Etymological DatasetsCode0
Bidirectional American Sign Language to English Translation0
Sentence-level dialects identification in the greater China region0
Neural Machine Translation on Scarce-Resource Condition: A case-study on Persian-English0
Joint Prediction of Word Alignment with Alignment Types0
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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