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 6170 of 551 papers

TitleStatusHype
Augmenting String-to-Tree and Tree-to-String Translation with Non-Syntactic Phrases0
A Unified Model for Soft Linguistic Reordering Constraints in Statistical Machine Translation0
Alibaba Submission to the WMT20 Parallel Corpus Filtering Task0
Bidirectional American Sign Language to English Translation0
Bilingual Data Cleaning for SMT using Graph-based Random Walk0
Bilingual Embeddings and Word Alignments for Translation Quality Estimation0
A Preliminary Evaluation of the Impact of Syntactic Structure in Semantic Textual Similarity and Semantic Relatedness Tasks0
A Pilot Experiment on Exploiting Translations for Literary Studies on Kafka's ``Verwandlung''0
Alibaba Submission to the WMT18 Parallel Corpus Filtering Task0
A Novel Translation Framework Based on Rhetorical Structure Theory0
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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