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 311320 of 551 papers

TitleStatusHype
Part-of-Speech Tag Disambiguation by Cross-Linguistic Majority Vote0
Part-of-speech Taggers for Low-resource Languages using CCA Features0
Passive and Pervasive Use of Bilingual Dictionary in Statistical Machine Translation0
Perplexity Minimization for Translation Model Domain Adaptation in Statistical Machine Translation0
Phonologically Informed Edit Distance Algorithms for Word Alignment with Low-Resource Languages0
Phrasal: A Toolkit for New Directions in Statistical Machine Translation0
Phrase-Based SMT for Finnish with More Data, Better Models and Alternative Alignment and Translation Tools0
PJAIT Systems for the IWSLT 2015 Evaluation Campaign Enhanced by Comparable Corpora0
PJAIT Systems for the WMT 20160
PJIIT's systems for WMT 2017 Conference0
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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