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 541550 of 551 papers

TitleStatusHype
Buy one get one free: Distant annotation of Chinese tense, event type and modality0
Can Machine Learning Algorithms Improve Phrase Selection in Hybrid Machine Translation?0
Capturing divergence in dependency trees to improve syntactic projection0
CASICT-DCU Neural Machine Translation Systems for WMT170
CimS -- The CIS and IMS joint submission to WMT 2014 translating from English into German0
CimS - The CIS and IMS Joint Submission to WMT 2015 addressing morphological and syntactic differences in English to German SMT0
Clustered Word Classes for Preordering in Statistical Machine Translation0
CNRC-TMT: Second Language Writing Assistant System Description0
Combining fast\_align with Hierarchical Sub-sentential Alignment for Better Word Alignments0
Combining Multiple Alignments to Improve Machine Translation0
Show:102550
← PrevPage 55 of 56Next →

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