Results 51 to 60 of about 214,522 (215)
How to use a nanocorpus. Enriching corpora of interpreting [PDF]
Corpus-based research into interpreting is still in its infancy. The late Miriam Shlesinger warned the scholarly community of interpreting studies that, even though corpus-based research was much needed in their field to attain the necessary degree of ...
Collard, Camille, Defrancq, Bart
core
Linguistically Motivated Vocabulary Reduction for Neural Machine Translation from Turkish to English [PDF]
The necessity of using a fixed-size word vocabulary in order to control the model complexity in state-of-the-art neural machine translation (NMT) systems is an important bottleneck on performance, especially for morphologically rich languages ...
Ataman, Duygu +3 more
core +3 more sources
The synthesis process of MM@PCD@QNPs and its potential mechanism for treating PCOS. (A) Assembly steps of MM@PCD@QNPs. (B) Synthesis and decomposition of MM@PCD@QNPs. (C) Potential therapeutic mechanisms of MM@PCD@QNPs for PCOS. PCD, PABP conjugated with DEX polymer; QUR, quercetin; CDI, N, N′‐carbonyldiimidazole; DEX, dextran; PABP, 4‐(hydroxymethyl ...
Wenzhu Li +9 more
wiley +1 more source
Magnetic tunnel junctions (MTJs) using MgO tunnel barriers face challenges of high resistance‐area product and low tunnel magnetoresistance (TMR). To discover alternative materials, Literature Enhanced Ab initio Discovery (LEAD) is developed. The LEAD‐predicted materials are theoretically evaluated, showing that MTJs with dusting of ScN or TiN on ...
Sabiq Islam +6 more
wiley +1 more source
During the last decade, the effects of time pressure in translation have been studied from an empirical-experimental approach (Jensen, 1999, 2000; de Rooze, 2003, 2008; Sharmin et al., 2008).
Miguel Angel Jimenez Crespo
doaj
The present study is a case study about the explicitation hypothesis in legal translations into German and English by means of a corpus-based approach and will present preliminary findings.
Ingrid Simonnæs
doaj +1 more source
Grounding Large Language Models for Robot Task Planning Using Closed‐Loop State Feedback
BrainBody‐Large Language Model (LLM) introduces a hierarchical, feedback‐driven planning framework where two LLMs coordinate high‐level reasoning and low‐level control for robotic tasks. By grounding decisions in real‐time state feedback, it reduces hallucinations and improves task reliability.
Vineet Bhat +4 more
wiley +1 more source
TESTING OUT TRANSLATION UNIVERSALS IN LEGAL TRANSLATION
Research into ‘translation universals’ in legal translation is a relatively new field, which still needs to be expanded with further empirical studies. The few studies conducted so far fall into two main categories: a) analyses that explore the typical ...
Gianluca Pontrandolfo
doaj +4 more sources
Multimodal Human–Robot Interaction Using Human Pose Estimation and Local Large Language Models
A multimodal human–robot interaction framework integrates human pose estimation (HPE) and a large language model (LLM) for gesture‐ and voice‐based robot control. Speech‐to‐text (STT) enables voice command interpretation, while a safety‐aware arbitration mechanism prioritizes gesture input for rapid intervention.
Nasiru Aboki +2 more
wiley +1 more source
Advances in corpus applications in literary and translation studies
In response to the call for integrating humanities research with advanced machine-enabled data collection and analysis methods in an increasingly digitalized era (Berry, 2012), this volume presents a comprehensive collection of studies that explore the ...
Simin Xu, Han Xu
doaj +1 more source

