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 131140 of 551 papers

TitleStatusHype
Aspect-Level Cross-lingual Sentiment Classification with Constrained SMT0
CASICT-DCU Neural Machine Translation Systems for WMT170
Capturing divergence in dependency trees to improve syntactic projection0
A Lightweight and High Performance Monolingual Word Aligner0
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 modality0
A Simple Approach to Learning Unsupervised Multilingual Embeddings0
Building Monolingual Word Alignment Corpus for the Greater China Region0
A Recursive Recurrent Neural Network for Statistical Machine Translation0
Alibaba Submission to the WMT20 Parallel Corpus Filtering Task0
Show:102550
← PrevPage 14 of 56Next →

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