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 421430 of 551 papers

TitleStatusHype
Improving Word Alignment Using Linguistic Code Switching Data0
Analysis and Prediction of Unalignable Words in Parallel Text0
Simple and Effective Approach for Consistent Training of Hierarchical Phrase-based Translation Models0
Bayesian Word Alignment for Massively Parallel Texts0
Multilingual Distributed Representations without Word AlignmentCode0
Effects of Parsing Errors on Pre-Reordering Performance for Chinese-to-Japanese SMT0
Multilingual Lexicon Bootstrapping - Improving a Lexicon Induction System Using a Parallel Corpus0
A Topic-Triggered Language Model for Statistical Machine Translation0
Using Transliteration of Proper Names from Arabic to Latin Script to Improve English-Arabic Word Alignment0
EVBCorpus - A Multi-Layer English-Vietnamese Bilingual Corpus for Studying Tasks in Comparative Linguistics0
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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