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 121130 of 551 papers

TitleStatusHype
Neural Baselines for Word Alignment0
Generative latent neural models for automatic word alignment0
OpusFilter: A Configurable Parallel Corpus Filtering Toolbox0
Learning aligned embeddings for semi-supervised word translation using Maximum Mean Discrepancy0
Neural Simultaneous Speech Translation Using Alignment-Based Chunking0
Evaluating Explanation Methods for Neural Machine Translation0
Line-a-line: A Tool for Annotating Word-Alignments0
Building an English-Chinese Parallel Corpus Annotated with Sub-sentential Translation Techniques0
FrameNet Annotations Alignment using Attention-based Machine Translation0
Automatic Construction of Aramaic-Hebrew Translation Lexicon0
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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