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 171180 of 551 papers

TitleStatusHype
Improved Semantic-Aware Network Embedding with Fine-Grained Word Alignment0
An Operation Sequence Model for Explainable Neural Machine TranslationCode0
Constructing an Annotated Corpus of Verbal MWEs for English0
LanguageNet: Learning to Find Sense Relevant Example Sentences0
Orthographic Features for Bilingual Lexicon Induction0
Using Word Vectors to Improve Word Alignments for Low Resource Machine Translation0
Read and Comprehend by Gated-Attention Reader with More Belief0
Investigating the Influence of Bilingual MWU on Trainee Translation Quality0
The Use of Text Alignment in Semi-Automatic Error Analysis: Use Case in the Development of the Corpus of the Latvian Language Learners0
Multimodal Lexical TranslationCode0
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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