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 421430 of 551 papers

TitleStatusHype
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
Rediscovering Annotation Projection for Cross-Lingual Parser Induction0
Refining Word Segmentation Using a Manually Aligned Corpus for Statistical Machine Translation0
Resumptive Pronoun Detection for Modern Standard Arabic to English MT0
Re-training Monolingual Parser Bilingually for Syntactic SMT0
Retrofitting Sense-Specific Word Vectors Using Parallel Text0
Reversing Morphological Tokenization in English-to-Arabic SMT0
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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