Results 171 to 180 of about 53,972 (305)

On Target Segmentation for Direct Speech Translation

, 2020
Recent studies on direct speech translation show continuous improvements by means of data augmentation techniques and bigger deep learning models.
Marco Turchi, Marco Gaido, Matteo Negri, Mattia A. Di Gangi   +3 more
core  

When less is more in neural quality estimation of machine translation. An industry case study [PDF]

, 2019
Quality estimation (QE) of machine translation (MT), the task of predicting the quality of an MT output without human references, is particularly suitable in dynamic translation workflows, where translations need to be assessed continuously with no ...
Moorkens, Joss, Shterionov, Dimitar, do Carmo, Félix, Way, Andy, Paquin, Eric, Schmidtke, Dag, Groves, Declan   +6 more
core  

At Home Detection of Ovarian Health Biomarker in Menstruation Blood

Advanced Materials Technologies, EarlyView.
A lateral flow assay enables the detection of anti‐Müllerian hormone directly in unprocessed menstrual blood using silica‐gold nanoshells and smartphone‐assisted machine learning analysis. The platform supports decentralized, user‐operated testing in wearable and dipstick formats, highlighting the potential of menstrual blood as a non‐invasive matrix ...
Lucas Dosnon, Thomas Rduch, Salma Sherif Azer, Inge K. Herrmann   +3 more
wiley   +1 more source

An Improved Transformer-Based Neural Machine Translation Strategy: Interacting-Head Attention. [PDF]

Comput Intell Neurosci, 2022
Li D, Luo Z.
europepmc   +1 more source

The Evolution of Aerosol Jet Printing, A Review: Enhancing Material Versatility and Improvements for Next‐Generation Applications

Advanced Materials Technologies, EarlyView.
Aerosol Jet Printing (AJP) has emerged as a versatile additive manufacturing technique for high‐resolution, conformal, and multi‐material printing. This review highlights advances in printable materials, substrate compatibility, post‐processing, characterization, and process innovations, while critically discussing current challenges and future ...
Chandrachur Chatterjee, Rocco Lupoi, Michael J. Gibbons   +2 more
wiley   +1 more source

Evaluating Machine Translation Models and LLMs for Indonesian–Javanese Translation Across Speech Levels

Journal of Applied Informatics and Computing
Despite being one of the most widely spoken regional languages in Indonesia, Javanese remains underrepresented in modern machine translation systems, particularly with respect to its hierarchical speech-level system.
Mahendra Bayu Prayoga, Bagas Restya Ermawan, Akmal Rafi Fadhillah, Mohammad Nizar Farizi, Ema Utami   +4 more
doaj   +1 more source

Proposing Causal Sequence of Death by Neural Machine Translation in Public Health Informatics. [PDF]

IEEE J Biomed Health Inform, 2022
Zhu Y, Sha Y, Wu H, Li M, Hoffman RA, Wang MD.   +5 more
europepmc   +1 more source

The Helsinki Neural Machine Translation System [Elektronisk resurs]

, 2017
We introduce the Helsinki Neural Machine Translation system (HNMT) and how it is applied in the news translation task at WMT 2017, where it ranked first in both the human and automatic evaluations for English–Finnish.
Östling, Robert,, Tang, Gongbo, Tiedemann, Jörg, Nieminen, Tommi, Scherrer, Yves   +4 more
core  

Machine Learning Enables Inverse Design of Optically Driven Microscopic Metavehicles

Advanced Optical Materials, EarlyView.
Machine‐learning‐based inverse design is used optimize “metavehicles” — flat microparticles based on metagratings that generate a strong lateral optical force from normally incident light. The optimized design exhibits a force efficiency of ∼88% and a measured propulsion speed in water much higher than previously reported, demonstrating that inverse ...
Vasilii Mylnikov, Mahdi Shanei, Mikael Käll   +2 more
wiley   +1 more source

Exploring the evolution and future prospects of Amharic to English machine translation: a systematic review

Frontiers in Artificial Intelligence
IntroductionIn the last couple of decades, Amharic-English translation has greatly improved from a rule-based approach to contemporary systems that apply neural networks.
Muluken Hussen Asebel, Shimelis Getu Assefa, Mesfin Abebe Haile   +2 more
doaj   +1 more source