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 131–140 of 551 papers

TitleStatusHype
Aspect-Level Cross-lingual Sentiment Classification with Constrained SMT—0
CASICT-DCU Neural Machine Translation Systems for WMT17—0
Capturing divergence in dependency trees to improve syntactic projection—0
A Lightweight and High Performance Monolingual Word Aligner—0
Can Machine Learning Algorithms Improve Phrase Selection in Hybrid Machine Translation?—0
Buy one get one free: Distant annotation of Chinese tense, event type and modality—0
A Simple Approach to Learning Unsupervised Multilingual Embeddings—0
Building Monolingual Word Alignment Corpus for the Greater China Region—0
A Recursive Recurrent Neural Network for Statistical Machine Translation—0
Alibaba Submission to the WMT20 Parallel Corpus Filtering Task—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