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 4150 of 551 papers

TitleStatusHype
AlignAtt: Using Attention-based Audio-Translation Alignments as a Guide for Simultaneous Speech TranslationCode0
Addressing the Rare Word Problem in Neural Machine TranslationCode0
A Simple, Fast, and Effective Reparameterization of IBM Model 2Code0
How Language-Neutral is Multilingual BERT?Code0
Guided Alignment Training for Topic-Aware Neural Machine TranslationCode0
Improving Discourse Relation Projection to Build Discourse Annotated CorporaCode0
Embedding-Enhanced Giza++: Improving Alignment in Low- and High- Resource Scenarios Using Embedding Space GeometryCode0
FastEmit: Low-latency Streaming ASR with Sequence-level Emission RegularizationCode0
Does mBERT understand Romansh? Evaluating word embeddings using word alignmentCode0
Adding Interpretable Attention to Neural Translation Models Improves Word AlignmentCode0
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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