Results 121 to 130 of about 325,723 (299)

Evaluating Fidelity of Persian-English Sentence-Aligned Parallel Corpus

International Journal of Information and Communication Technology Research, 2013
Bilingual corpus is one of the most important resources for Natural Language Processing applications and researches. The quality of bilingual corpora can influence the result of researches that used it as a resource.
Masoomeh Mashayekhi, Morteza Analoui
doaj  

Confidence through Attention [PDF]

Machine Translation Summit XVI, Nagoya, Japan, September 2017, 2017
Attention distributions of the generated translations are a useful bi-product of attention-based recurrent neural network translation models and can be treated as soft alignments between the input and output tokens. In this work, we use attention distributions as a confidence metric for output translations.
arxiv  

Smart Rubber Extrusion Line Combining Multiple Sensor Techniques for AI‐Based Process Control

Advanced Engineering Materials, EarlyView.
This publication presents a digitalization approach for a laboratory rubber extrusion line, employing innovative measurement methods and artificial intelligence (AI)‐based process control. The results demonstrate that the measurement systems are capable of detecting changes in the process and extrudate quality.
Alexander Aschemann, Paul‐Felix Hagen, Simon Albers, Robin Rofallski, Sven Schwabe, Mohammed Dagher, Marco Lukas, Sebastian Leineweber, Benjamin Klie, Patrick Schneider, Hagen Bossemeyer, Lennart Hinz, Markus Kästner, Birger Reitz, Eduard Reithmeier, Thomas Luhmann, Hainer Wackerbarth, Ludger Overmeyer, Ulrich Giese   +18 more
wiley   +1 more source

Using Synchronous TAG for Source-Side Reordering in SMT

International Journal of Information and Communication Technology Research, 2013
Recent efforts in machine translation try to enrich statistical methods by syntactic information of source and target languages. In this paper we present a hybrid machine translator, which combines rule-based and statistical models in a serial manner ...
Amin Mansouri, Hakimeh Fadaei, Heshaam Faili, Mohsen Arabsorkhi   +3 more
doaj  

The Use of Natural Language Processing Approach for Converting Pseudo Code to C# Code

Journal of Intelligent Systems, 2019
Although current computer-aided software engineering tools support developers in composing a program, there is no doubt that more flexible supportive tools are needed to address the increases in the complexity of programs.
Imam Ayad Tareq, Alnsour Ayman Jameel
doaj   +1 more source

Electrospinning Technology, Machine Learning, and Control Approaches: A Review

Advanced Engineering Materials, EarlyView.
Electrospinning produces micro‐ and nanoscale fibers, holding great promise in biomedical engineering. Industrial adoption faces challenges in controlling fiber properties, reproducibility, and scalability. This review explores electrospinning techniques, modeling, and machine learning for process optimization.
Arya Shabani, Gorkem Anil Al, Nael Berri, Bernardo Castro‐Dominguez, Hannah S. Leese, Uriel Martinez‐Hernandez   +5 more
wiley   +1 more source

Recurrent Neural Network based Rule Sequence Model for Statistical Machine Translation [PDF]

, 2015
Heng Yu, Xuan Zhu
openalex   +1 more source

A Data Selection Approach for Enhancing Low Resource Machine Translation Using Cross-Lingual Sentence Representations [PDF]

Machine translation in low-resource language pairs faces significant challenges due to the scarcity of parallel corpora and linguistic resources. This study focuses on the case of English-Marathi language pairs, where existing datasets are notably noisy, impeding the performance of machine translation models.
arxiv   +1 more source

Assessing the Ecological Value: Monetizing Process Innovations in Tailored Forming

Advanced Engineering Materials, EarlyView.
This article introduces a method for evaluating the sustainability of innovations, even with limited data. The method is illustrated through an analysis of the “Tailored Forming” technology, which explores the impact of sustainability on economic value added.
Jonas Schneider, Jan Westing, Matthias Schmidt, Peter Nyhuis, Vivian Katharina Kuprat   +4 more
wiley   +1 more source

Rule-based machine translation from Kazakh to Turkish

, 2018
This paper presents a shallow-transfer machine translation (MT) system for translating from Kazakh to Turkish. Background on the differences between the languages is presented, followed by how the system was designed to handle some of these differences. The system is based on the Apertium free/open-source machine translation platform.
Bayatli, Sevilay, Kurnaz, Sefer, Salimzianov, Ilnar, Washington, Jonathan North, Tyers, Francis M.   +4 more
openaire   +1 more source