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
Contextualized Word Vector-based Methods for Discovering Semantic Differences with No Training nor Word Alignment0
Low-resource Bilingual Dialect Lexicon Induction with Large Language ModelsCode0
Investigating the Role of Attribute Context in Vision-Language Models for Object Recognition and Detection0
Meeting the Needs of Low-Resource Languages: The Value of Automatic Alignments via Pretrained ModelsCode0
Noisy Parallel Data AlignmentCode0
Learning Trajectory-Word Alignments for Video-Language Tasks0
Word Alignment in the Era of Deep Learning: A Tutorial0
Third-Party Aligner for Neural Word AlignmentsCode0
EntityCS: Improving Zero-Shot Cross-lingual Transfer with Entity-Centric Code Switching0
SilverAlign: MT-Based Silver Data Algorithm For Evaluating 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