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 211220 of 551 papers

TitleStatusHype
Improving Discourse Relation Projection to Build Discourse Annotated CorporaCode0
Hybrid Neural Network Alignment and Lexicon Model in Direct HMM for Statistical Machine Translation0
Incorporating Word Reordering Knowledge into Attention-based Neural Machine Translation0
Six Challenges for Neural Machine Translation0
Exploring Properties of Intralingual and Interlingual Association Measures Visually0
Multilingwis ^2 -- Explore Your Parallel Corpus0
Crossing the border twice: Reimporting prepositions to alleviate L1-specific transfer errors0
Word-Alignment-Based Segment-Level Machine Translation Evaluation using Word Embeddings0
Computational analysis of Gondi dialects0
Slavic Forest, Norwegian Wood0
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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