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 341350 of 551 papers

TitleStatusHype
Multi-Level Alignments As An Extensible Representation Basis for Textual Entailment Algorithms0
FBK-HLT: A New Framework for Semantic Textual Similarity0
A Preliminary Evaluation of the Impact of Syntactic Structure in Semantic Textual Similarity and Semantic Relatedness Tasks0
Bilingual lexicon extraction for a distant language pair using a small parallel corpus0
TKLBLIIR: Detecting Twitter Paraphrases with TweetingJay0
Word Alignment Based Parallel Corpora Evaluation and Cleaning Using Machine Learning Techniques0
Improving the Cross-Lingual Projection of Syntactic Dependencies0
Enriching the Swedish Sign Language Corpus with Part of Speech Tags Using Joint Bayesian Word Alignment and Annotation Transfer0
An Optimal Quadratic Approach to Monolingual Paraphrase Alignment0
Model Invertibility Regularization: Sequence Alignment With or Without Parallel Data0
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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