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 476500 of 551 papers

TitleStatusHype
Word Alignment Modeling with Context Dependent Deep Neural Network0
A Lightweight and High Performance Monolingual Word Aligner0
A Hybrid Word Alignment Model for Phrase-Based Statistical Machine Translation0
Length-Incremental Phrase Training for SMT0
A Formal Characterization of Parsing Word Alignments by Synchronous Grammars with Empirical Evidence to the ITG Hypothesis.0
ALTN: Word Alignment Features for Cross-lingual Textual Entailment0
LIMSI : Cross-lingual Word Sense Disambiguation using Translation Sense Clustering0
Cross-Lingual Semantic Similarity of Words as the Similarity of Their Semantic Word Responses0
Hierarchical Alignment Decomposition Labels for Hiero Grammar Rules0
A Systematic Bayesian Treatment of the IBM Alignment Models0
Umelb: Cross-lingual Textual Entailment with Word Alignment and String Similarity Features0
A Simple, Fast, and Effective Reparameterization of IBM Model 2Code0
Knowledge-Rich Morphological Priors for Bayesian Language Models0
Discriminative Joint Modeling of Lexical Variation and Acoustic Confusion for Automated Narrative Retelling Assessment0
Reversing Morphological Tokenization in English-to-Arabic SMT0
Simultaneous Word-Morpheme Alignment for Statistical Machine Translation0
Combining Top-down and Bottom-up Search for Unsupervised Induction of Transduction Grammars0
WSD2: Parameter optimisation for Memory-based Cross-Lingual Word-Sense Disambiguation0
Semeval-2013 Task 8: Cross-lingual Textual Entailment for Content Synchronization0
Distant annotation of Chinese tense and modality0
Large-scale Word Alignment Using Soft Dependency Cohesion Constraints0
Dual Coordinate Descent Algorithms for Efficient Large Margin Structured Prediction0
Learning to translate with products of novices: a suite of open-ended challenge problems for teaching MT0
Semantics-Based Machine Translation with Hyperedge Replacement Grammars0
Partially modelling word reordering as a sequence labelling problem0
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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