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 291300 of 551 papers

TitleStatusHype
Neural Networks for Negation Cue Detection in Chinese0
Neural Reordering Model Considering Phrase Translation and Word Alignment for Phrase-based Translation0
Neural Simultaneous Speech Translation Using Alignment-Based Chunking0
Noise-Aware Character Alignment for Bootstrapping Statistical Machine Transliteration from Bilingual Corpora0
No more beating about the bush : A Step towards Idiom Handling for Indian Language NLP0
NRC Russian-English Machine Translation System for WMT 20160
On Complex Word Alignment Configurations0
One Tree is not Enough: Cross-lingual Accumulative Structure Transfer for Semantic Indeterminacy0
Online Word Alignment for Online Adaptive Machine Translation0
On Statistical Machine Translation and Translation Theory0
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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