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 391400 of 551 papers

TitleStatusHype
Augmenting String-to-Tree and Tree-to-String Translation with Non-Syntactic Phrases0
Yandex School of Data Analysis Russian-English Machine Translation System for WMT140
Abu-MaTran at WMT 2014 Translation Task: Two-step Data Selection and RBMT-Style Synthetic Rules0
Translation Class Instruction as Collaboration in the Act of Translation0
Treebank Translation for Cross-Lingual Parser Induction0
Recurrent Neural Networks for Word Alignment Model0
Bilingually-constrained Phrase Embeddings for Machine Translation0
A Unified Model for Soft Linguistic Reordering Constraints in Statistical Machine Translation0
Kneser-Ney Smoothing on Expected CountsCode0
A Recursive Recurrent Neural Network for Statistical Machine Translation0
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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