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 291300 of 551 papers

TitleStatusHype
Agreement-based Joint Training for Bidirectional Attention-based Neural Machine TranslationCode0
PJAIT Systems for the IWSLT 2015 Evaluation Campaign Enhanced by Comparable Corpora0
Using Multilingual Topic Models for Improved Alignment in English-Hindi MT0
An Empirical Study of Diversity of Word Alignment and its Symmetrization Techniques for System Combination0
Graph-Based Word Alignment for Clinical Language Evaluation0
Realignment from Finer-grained Alignment to Coarser-grained Alignment to Enhance Mongolian-Chinese SMT0
Unsupervised and Lightly Supervised Part-of-Speech Tagging Using Recurrent Neural Networks0
Semantic Parsing via l_0-norm-based Alignment0
Learning the Impact and Behavior of Syntactic Structure: A Case Study in Semantic Textual Similarity0
One Tree is not Enough: Cross-lingual Accumulative Structure Transfer for Semantic Indeterminacy0
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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