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 91100 of 551 papers

TitleStatusHype
BTG-based Machine Translation with Simple Reordering Model using Structured Perceptron0
Building a Hierarchically Aligned Chinese-English Parallel Treebank0
Building an English-Chinese Parallel Corpus Annotated with Sub-sentential Translation Techniques0
Building a SentiWordNet for Odia0
CimS - The CIS and IMS Joint Submission to WMT 2015 addressing morphological and syntactic differences in English to German SMT0
A Recursive Recurrent Neural Network for Statistical Machine Translation0
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
Clustered Word Classes for Preordering in Statistical Machine Translation0
Show:102550
← PrevPage 10 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