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 321330 of 551 papers

TitleStatusHype
Planting Trees in the Desert: Delexicalized Tagging and Parsing Combined0
Probabilistic Models of Cross-Lingual Semantic Similarity in Context Based on Latent Cross-Lingual Concepts Induced from Comparable Data0
Projection-based Annotation of a Polish Dependency Treebank0
Pronoun Prediction with Linguistic Features and Example Weighing0
QCRI-MES Submission at WMT13: Using Transliteration Mining to Improve Statistical Machine Translation0
Read and Comprehend by Gated-Attention Reader with More Belief0
Reading and Thinking: Re-read LSTM Unit for Textual Entailment Recognition0
Realignment from Finer-grained Alignment to Coarser-grained Alignment to Enhance Mongolian-Chinese SMT0
Recurrent Neural Network based Rule Sequence Model for Statistical Machine Translation0
Recurrent Neural Networks for Word Alignment Model0
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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