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
Graph-Based Word Alignment for Clinical Language Evaluation0
An Empirical Study of Diversity of Word Alignment and its Symmetrization Techniques for System Combination0
Using Multilingual Topic Models for Improved Alignment in English-Hindi MT0
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
UdS-Sant: English--German Hybrid Machine Translation System0
Baseline Models for Pronoun Prediction and Pronoun-Aware Translation0
Building Monolingual Word Alignment Corpus for the Greater China Region0
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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