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

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Showing 451–475 of 551 papers

TitleStatusHype
Experiments with POS-based restructuring and alignment-based reordering for statistical machine translation—0
Exact Maximum Inference for the Fertility Hidden Markov Model—0
QCRI-MES Submission at WMT13: Using Transliteration Mining to Improve Statistical Machine Translation—0
Enhanced and Portable Dependency Projection Algorithms Using Interlinear Glossed Text—0
English-to-Russian MT evaluation campaign—0
Semantic Parsing as Machine Translation—0
Decipherment—0
DCU-Symantec at the WMT 2013 Quality Estimation Shared Task—0
Cross-lingual Transfer of Semantic Role Labeling Models—0
Cross-lingual Projections between Languages from Different Families—0
Syntactic Patterns versus Word Alignment: Extracting Opinion Targets from Online Reviews—0
The Karlsruhe Institute of Technology Translation Systems for the WMT 2013—0
Topic Models + Word Alignment = A Flexible Framework for Extracting Bilingual Dictionary from Comparable Corpus—0
Training Nondeficient Variants of IBM-3 and IBM-4 for Word Alignment—0
Two-Neighbor Orientation Model with Cross-Boundary Global Contexts—0
Bilingual Lexicon Extraction via Pivot Language and Word Alignment Tool—0
Bilingual Data Cleaning for SMT using Graph-based Random Walk—0
Unsupervised Transduction Grammar Induction via Minimum Description Length—0
A Tree Transducer Model for Grammatical Error Correction—0
Using unlabeled dependency parsing for pre-reordering for Chinese-to-Japanese statistical machine translation—0
Variational Inference for Structured NLP Models—0
A Novel Translation Framework Based on Rhetorical Structure Theory—0
A Novel Graph-based Compact Representation of Word Alignment—0
An Information Theoretic Approach to Bilingual Word Clustering—0
A Markov Model of Machine Translation using Non-parametric Bayesian Inference—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Barycenter AlignmentP@184.26—Unverified
2Adv - Refine - CSLSP@181.7—Unverified
#ModelMetricClaimedVerifiedStatus
1Barycenter AlignmentP@182.94—Unverified
2Adv - Refine - CSLSP@182.3—Unverified
#ModelMetricClaimedVerifiedStatus
1Barycenter AlignmentP@183.5—Unverified
2Adv - Refine - CSLSP@183.3—Unverified
#ModelMetricClaimedVerifiedStatus
1Barycenter AlignmentP@183.23—Unverified
2Adv - Refine - CSLSP@182.1—Unverified
#ModelMetricClaimedVerifiedStatus
1Barycenter AlignmentP@181.45—Unverified
#ModelMetricClaimedVerifiedStatus
1Barycenter AlignmentP@174.08—Unverified
#ModelMetricClaimedVerifiedStatus
1Barycenter AlignmentP@184.65—Unverified