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 311320 of 551 papers

TitleStatusHype
Improving the IBM Alignment Models Using Variational Bayes0
Improving the precision of automatically constructed human-oriented translation dictionaries0
Improving the Translation of Discourse Markers for Chinese into English0
Improving word alignment for low resource languages using English monolingual SRL0
Improving Word Alignment of Rare Words with Word Embeddings0
Improving Word Alignment Using Linguistic Code Switching Data0
Improving Word Alignment using Word Similarity0
Incorporating Word Reordering Knowledge into Attention-based Neural Machine Translation0
Inducing Bilingual Lexica From Non-Parallel Data With Earth Mover's Distance Regularization0
Inducing Discourse Connectives from Parallel Texts0
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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