Results 81 to 90 of about 3,692,894 (287)
Comparing rule-based and data-driven approaches to Spanish-to-Basque machine translation [PDF]
, 2007 In this paper, we compare the rule-based and data-driven approaches in the context of Spanish-to-Basque Machine Translation. The rule-based system we consider has been developed specifically for Spanish-to-Basque machine translation, and is tuned to ...
Stroppa, Nicolas +3 more
core +2 more sources
Semantic Neural Machine Translation Using AMR
Transactions of the Association for Computational Linguistics, 2019 It is intuitive that semantic representations can be useful for machine translation, mainly because they can help in enforcing meaning preservation and handling data sparsity (many sentences correspond to one meaning) of machine translation models.
Song, Linfeng +4 more
doaj +1 more source
Neural Network Machine Translation Method Based on Unsupervised Domain Adaptation
Complexity, 2020 Relying on large-scale parallel corpora, neural machine translation has achieved great success in certain language pairs. However, the acquisition of high-quality parallel corpus is one of the main difficulties in machine translation research.
Rui Wang
doaj +1 more source
Molecular Oncology, EarlyView.Single‐cell multi‐omics reveals epigenetic heterogeneity across therapy‐adaptive tumor states, including quiescent/dormant, drug‐tolerant persister, and EMT‐like phenotypes. By linking regulatory features with state‐associated biomarkers, these approaches inform biomarker‐guided therapeutic strategies for evolving tumors.
Hee Jung Kim +3 more
wiley +1 more source
Residual Information Flow for Neural Machine Translation
IEEE Access, 2022 Automatic machine translation plays an important role in reducing language barriers between people speaking different languages. Deep neural networks (DNN) have attained major success in diverse research fields such as computer vision, information ...
Shereen A. Mohamed +2 more
doaj +1 more source
Byte-based Neural Machine Translation [PDF]
Proceedings of the First Workshop on Subword and Character Level Models in NLP, 2017 This paper presents experiments compar- ing character-based and byte-based neural machine translation systems. The main motivation of the byte-based neural ma- chine translation system is to build multi- lingual neural machine translation systems that can share the same vocabulary.
Ruiz Costa-Jussà, Marta +2 more
openaire +3 more sources
ADP‐ribosylation: An emerging regulator of the epigenome
Molecular Oncology, EarlyView.ADP‐ribosylation has emerged as a dynamic epigenetic signaling mechanism that modifies histones and chromatin‐associated proteins. Through coordinated PARylation and MARylation, it integrates with other histone modifications to regulate chromatin structure, transcription factor activity, and gene expression, influencing genome function and disease ...
Cristel V. Camacho +2 more
wiley +1 more source
Learning labelled dependencies in machine translation evaluation [PDF]
, 2009 Recently novel MT evaluation metrics have been presented which go beyond pure string matching, and which correlate better than other existing metrics with human judgements.
He, Yifan, Way, Andy
core +2 more sources
Molecular Oncology, EarlyView.Arginine methylation can be viewed as a persistence‐prone post‐translational modification regulated by a network of PRMTs. Competitive and compensatory interactions among PRMTs can redistribute methylation across substrate pools shaped by sequence, structural, spatial, and environmental layers, reinforcing RNA‐processing, chromatin, and signaling ...
So Hyun Kwon, Ji Min Lee
wiley +1 more source
Traduction et LanguesThe use of machine translation has become ubiquitous across various translation practices, especially with the advent of neural machine translation and the integration of deep learning and artificial intelligence in translation program development ...
Sofiane Djeffal
doaj +1 more source