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 491500 of 551 papers

TitleStatusHype
Annotated Corpora for Word Alignment between Japanese and English and its Evaluation with MAP-based Word Aligner0
Annotated Guidelines and Building Reference Corpus for Myanmar-English Word Alignment0
An Optimal Quadratic Approach to Monolingual Paraphrase Alignment0
A Novel Graph-based Compact Representation of Word Alignment0
A Novel Translation Framework Based on Rhetorical Structure Theory0
A Pilot Experiment on Exploiting Translations for Literary Studies on Kafka's ``Verwandlung''0
A Preliminary Evaluation of the Impact of Syntactic Structure in Semantic Textual Similarity and Semantic Relatedness Tasks0
A Recursive Recurrent Neural Network for Statistical Machine Translation0
A Simple Approach to Learning Unsupervised Multilingual Embeddings0
Aspect-Level Cross-lingual Sentiment Classification with Constrained SMT0
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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