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 101110 of 551 papers

TitleStatusHype
Aspect-Level Cross-lingual Sentiment Classification with Constrained SMT0
Subword Sampling for Low Resource Word Alignment0
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
A Supervised Word Alignment Method based on Cross-Language Span Prediction using Multilingual BERT0
Clustered Word Classes for Preordering in Statistical Machine Translation0
Combining Word-Level and Character-Level Models for Machine Translation Between Closely-Related Languages0
Compositional Generalization for Neural Semantic Parsing via Span-level Supervised Attention0
ATOGAN:Adaptive Training Objective Generative Adversarial Network for Cross-lingual Word Alignment in Non-Isomorphic Embedding Spaces0
Bilingual Lexicon Extraction via Pivot Language and Word Alignment Tool0
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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