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 101110 of 551 papers

TitleStatusHype
Efficient Neural Machine Translation with Prior Word Alignment0
Unsupervised Word Alignment via Cross-Lingual Contrastive LearningCode0
XLM-T: Scaling up Multilingual Machine Translation with Pretrained Cross-lingual Transformer Encoders0
Subword Sampling for Low Resource Word Alignment0
Mask-Align: Self-Supervised Neural Word AlignmentCode1
改善詞彙對齊以擷取片語翻譯之方法 (Improving Word Alignment for Extraction Phrasal Translation)0
Alibaba Submission to the WMT20 Parallel Corpus Filtering Task0
Unsupervised Cross-Lingual Part-of-Speech Tagging for Truly Low-Resource Scenarios0
Learning Contextualised Cross-lingual Word Embeddings and Alignments for Extremely Low-Resource Languages Using Parallel CorporaCode1
Volctrans Parallel Corpus Filtering System for WMT 20200
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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