Results 101 to 110 of about 357,083 (284)

Combining multi-domain statistical machine translation models using automatic classifiers [PDF]

, 2010
This paper presents a set of experiments on Domain Adaptation of Statistical Machine Translation systems. The experiments focus on Chinese-English and two domain-specific corpora. The paper presents a novel approach for combining multiple domain-trained
Banerjee, Pratyush, Du, Jinhua, Kumar Naskar, Sudip, Li, Baoli, van Genabith, Josef, Way, Andy   +5 more
core   +1 more source

Dual‐Programmable Architected Magnetic Soft Materials: Tuning Mechano–Electric Responses by Inverse Design

Advanced Functional Materials, EarlyView.
ABSTRACT Materials that can deform, sense, and autonomously generate power in response to wireless magnetic fields, through both magnetic‐actuated shape transformation and charge generation, are an emerging focus in advanced functional materials research.
Zhi Zhao, Xiaojia Shelly Zhang
wiley   +1 more source

Pushdown Automata in Statistical Machine Translation

Computational Linguistics, 2023
Cyril Allauzen, Bill Byrne, Adrià de Gispert, Gonzalo Iglesias, Michael Riley   +4 more
doaj   +1 more source

Atomic Layer Deposition in Transistors and Monolithic 3D Integration

Advanced Functional Materials, EarlyView.
Transistors are fundamental building blocks of modern electronics. This review summarizes recent progress in atomic layer deposition (ALD) for the synthesis of two‐dimensional (2D) metal oxides and transition‐metal dichalcogenides (TMDCs), with particular emphasis on their enabling role in monolithic three‐dimensional (M3D) integration for next ...
Yue Liu, Taoyu Zou, Cheng‐Yan Xu, Liang Zhen, Yang Li, Yong‐Young Noh   +5 more
wiley   +1 more source

Controlled beam search for neural machine translation using subword units leveraging phrase-based statistical machine translation outputs

Discover Computing
The decoding phase is a crucial component in machine translation systems, alongside the creation of the model. Beam search is the most commonly used algorithm for decoding in these systems.
Emre Satir, Hasan Bulut
doaj   +1 more source

Application of translation technology based on AI in translation teaching

Systems and Soft Computing
Nowadays, translation technology based on artificial intelligence (AI) has gradually matured. Traditional translation teaching methods have many limitations, such as time and space limitations, increased labor costs, etc.
Yu Yuxiu
doaj   +1 more source

Why Translation Is Difficult: A Corpus-Based Study of Non-Literality in Post-Editing and From-Scratch Translation

Hermes, 2017
The paper develops a definition of translation literality that is based on the syntactic and semantic similarity of the source and the target texts. We provide theoretical and empirical evidence that absolute literal translations are easy to produce ...
Michael Carl, Moritz Jonas Schaeffer
doaj   +1 more source

Magnetothermal‐Triggered Response and Self‐Healing of Recyclable and Reprocessable Nanocomposites for Actuation Systems

Advanced Functional Materials, EarlyView.
Developing recyclable materials for magnetic robotics that combine rapid response and self‐healing properties is challenging. Hence, this study focuses on the integration of magnetothermal nanoparticles into a dynamic sorbitol‐based vitrimer, a recyclable composite capable of remote actuation and self‐healing by magnetic heating.
Maria Weißpflog, Gloria Signorato, Birgit Hankiewicz, Volker Abetz   +3 more
wiley   +1 more source

Active Learning‐Accelerated Discovery of Fibrous Hydrogels with Tissue‐Mimetic Viscoelasticity

Advanced Functional Materials, EarlyView.
Active learning accelerates the design of fibrous hydrogels that mimic the viscoelasticity of native tissues. By integrating multi‐objective optimization and closed‐loop experimentation, this approach efficiently identifies optimal formulations from thousands of possibilities and decouples elasticity and viscosity. The resulting hydrogels offer tunable
Zhengkun Chen, Zheyuan Miao, Gary Tom, Austin H. Cheng, Elizaveta Gusarova, Benjamen Zondag, Tianyi Wu, Dianoosh Kalhori, Boris Hinz, Milad Abolhasani, Alán Aspuru‐Guzik, Eugenia Kumacheva   +11 more
wiley   +1 more source

Statistical Machine Translation (SMT) for Highly-Inflectional Scarce-Resource Language

International Journal of Information and Communication Technology Research, 2013
Statistical Machine Translation (SMT) is a machine translation paradigm, in which translations are generated on the base of statistical models. In this system, parameters are derived from an analysis of a parallel corpus, and SMT quality depends on the ...
Saman Namdar, Hesham Faili, Shahram Khadivi   +2 more
doaj