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 181190 of 551 papers

TitleStatusHype
Using English Baits to Catch Serbian Multi-Word Terminology0
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
Tel(s)-Telle(s)-Signs: Highly Accurate Automatic Crosslingual Hypernym Discovery0
Investigating the Influence of Bilingual MWU on Trainee Translation Quality0
A Hybrid Approach for Automatic Extraction of Bilingual Multiword Expressions from Parallel Corpora0
No more beating about the bush : A Step towards Idiom Handling for Indian Language NLP0
Creating a Translation Matrix of the Bible's Names Across 591 LanguagesCode0
ZAP: An Open-Source Multilingual Annotation Projection Framework0
Multi-lingual Common Semantic Space Construction via Cluster-consistent Word Embedding0
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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