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 431440 of 551 papers

TitleStatusHype
Noise-Aware Character Alignment for Bootstrapping Statistical Machine Transliteration from Bilingual Corpora0
Semi-Markov Phrase-Based Monolingual Alignment0
A Study on Bootstrapping Bilingual Vector Spaces from Non-Parallel Data (and Nothing Else)0
Source-Side Classifier Preordering for Machine Translation0
Identifying Phrasal Verbs Using Many Bilingual Corpora0
High-Accuracy Phrase Translation Acquisition Through Battle-Royale Selection0
Using Parallel Corpora for Word Sense Disambiguation0
Joint WMT 2013 Submission of the QUAERO Project0
Yandex School of Data Analysis Machine Translation Systems for WMT130
QCRI-MES Submission at WMT13: Using Transliteration Mining to Improve Statistical Machine Translation0
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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