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 426–450 of 551 papers

TitleStatusHype
Refining Word Segmentation Using a Manually Aligned Corpus for Statistical Machine Translation—0
Resumptive Pronoun Detection for Modern Standard Arabic to English MT—0
Re-training Monolingual Parser Bilingually for Syntactic SMT—0
Retrofitting Sense-Specific Word Vectors Using Parallel Text—0
Reversing Morphological Tokenization in English-to-Arabic SMT—0
RICOH at SemEval-2016 Task 1: IR-based Semantic Textual Similarity Estimation—0
Samsung: Align-and-Differentiate Approach to Semantic Textual Similarity—0
Scaling Up Word Clustering—0
Semantic Parsing as Machine Translation—0
Semantic Parsing via l_0-norm-based Alignment—0
Semantic Role Labelling with minimal resources: Experiments with French—0
Semantics-Based Machine Translation with Hyperedge Replacement Grammars—0
Semantics-based pretranslation for SMT using fuzzy matches—0
SemantiKLUE: Robust Semantic Similarity at Multiple Levels Using Maximum Weight Matching—0
SemantiKLUE: Semantic Textual Similarity with Maximum Weight Matching—0
Semeval-2013 Task 8: Cross-lingual Textual Entailment for Content Synchronization—0
Semi-Markov Phrase-Based Monolingual Alignment—0
Sensible: L2 Translation Assistance by Emulating the Manual Post-Editing Process—0
Sentence-level dialects identification in the greater China region—0
Sheffield Systems for the English-Romanian WMT Translation Task—0
Show Me Your Variance and I Tell You Who You Are - Deriving Compound Compositionality from Word Alignments—0
SimiHawk at SemEval-2016 Task 1: A Deep Ensemble System for Semantic Textual Similarity—0
Similar Southeast Asian Languages: Corpus-Based Case Study on Thai-Laotian and Malay-Indonesian—0
Simple and Effective Approach for Consistent Training of Hierarchical Phrase-based Translation Models—0
Simple extensions and POS Tags for a reparameterised IBM Model 2—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