Results 41 to 50 of about 70,068 (263)
Improving English-to-Indian Language Neural Machine Translation Systems
Information, 2022 Most Indian languages lack sufficient parallel data for Machine Translation (MT) training. In this study, we build English-to-Indian language Neural Machine Translation (NMT) systems using the state-of-the-art transformer architecture.
Akshara Kandimalla +3 more
doaj +1 more source
Multi-level Evaluation for Machine Translation [PDF]
Proceedings of the Tenth Workshop on Statistical Machine Translation, 2015 Translations generated by current statistical systems often have a large variance, in terms of their quality against human references. To cope with such variation, we propose to evaluate translations using a multi-level framework. The method varies the evaluation criteria based on the clusters to which a translation belongs.
Boxing Chen, Roland Kuhn, Hongyu Guo
openaire +2 more sources
FEBS Letters, EarlyView.We identified a systemic, progressive loss of protein S‐glutathionylation—detected by nonreducing western blotting—alongside dysregulation of glutathione‐cycle enzymes in both neuronal and peripheral tissues of Taiwanese SMA mice. These alterations were partially rescued by SMN antisense oligonucleotide therapy, revealing persistent redox imbalance as ...
Sofia Vrettou, Brunhilde Wirth
wiley +1 more source
TURKISH-TO-ENGLISH SHORT STORY TRANSLATION BY DEEPL: HUMAN EVALUATION BY TRAINEES AND TRANSLATION PROFESSIONALS VS. AUTOMATIC EVALUATION [PDF]
English Studies at NBUThis mixed-methods study aims to evaluate the quality of Turkish-to-English literary machine translation by DeepL, incorporating both human and automatic evaluation metrics while engaging translation trainees and professional translators.
Halise Gülmüş Sırkıntı
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Applied Artificial Intelligence, 2023 Neural machine translation (NMT) is applied to generate a more reliable and accurate translation practice as the most cutting-edge technology. In recent years, NMT has achieved gratifying results.
Shanshan Liu, Wenxiao Zhu
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Human-machine Translation Model Evaluation Based on Artificial Intelligence Translation
Emitter: International Journal of Engineering Technology, 2023 As artificial intelligence (AI) translation technology advances, big data, cloud computing, and emerging technologies have enhanced the progress of the data industry over the past several decades.
Ruichao Li +2 more
doaj +1 more source
Conformalizing Machine Translation Evaluation
Transactions of the Association for Computational LinguisticsAbstract Several uncertainty estimation methods have been recently proposed for machine translation evaluation. While these methods can provide a useful indication of when not to trust model predictions, we show in this paper that the majority of them tend to underestimate model uncertainty, and as a result, they often produce misleading
Chrysoula Zerva, André F. T. Martins
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LAYERED: Metric for Machine Translation Evaluation [PDF]
Proceedings of the Ninth Workshop on Statistical Machine Translation, 2014 This paper describes the LAYERED metric which is used for the shared WMT’14 metrics task. Various metrics exist for MT evaluation: BLEU (Papineni, 2002), METEOR (Alon Lavie, 2007), TER (Snover, 2006) etc., but are found inadequate in quite a few language settings like, for example, in case of free word order languages.
Shubham Gautam, Pushpak Bhattacharyya
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Gut microbiome and aging—A dynamic interplay of microbes, metabolites, and the immune system
FEBS Letters, EarlyView.Age‐dependent shifts in microbial communities engender shifts in microbial metabolite profiles. These in turn drive shifts in barrier surface permeability of the gut and brain and induce immune activation. When paired with preexisting age‐related chronic inflammation this increases the risk of neuroinflammation and neurodegenerative diseases.
Aaron Mehl, Eran Blacher
wiley +1 more source
The ubiquitin ligase RNF115 is required for the clearance of damaged lysosomes
FEBS Letters, EarlyView.Upon lysosomal rupture, an E3 ubiquitin ligase RNF115 translocates from the cytosol to the damaged lysosomal membrane. Moreover, RNF115 depletion impairs the clearance of damaged lysosomes, identifying it as a key regulator of lysosomal quality control.
Sae Nakanaga +3 more
wiley +1 more source