Results 61 to 70 of about 975,756 (347)
This study aims to demonstrate the need for learner-corpus-informed applications and proposes methods of application that promote the proper use of Korean topic and nominative markers.
Jihye Chun, Mi Hyun Kim
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
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
Learner vs. professional translations into Russian: Lexical profiles
One of the relatively recent trends in learner corpora research is building and exploiting learner translator corpora. Within corpus-based translation studies (CTS) translations are approached as a special variety of the target language. They are usually
Maria Kunilovskaya +2 more
doaj +1 more source
Constructing a longitudinal learner corpus to track L2 spoken English
The main purposes of this article are to provide an overview of a research project on a longitudinal learner spoken corpus and to share procedures related to the transcription of learners’ utterances from audio files using automated speech recognition ...
Abe Mariko, Yusuke Kondo
doaj +3 more sources
Construction of a Learner Corpus for Japanese Language Learners: Natane and Nutmeg
Japanese language learners aim to acquire reading, listening, writing and speaking skills. We at the Hinoki project (https://hinoki-project.org/) have recently been working on the Natsume collocation search system (https://hinoki-project.org/natsume/), the Natane learner corpus to support Natsume (https://hinoki-project.org/natane/) and the Nutmeg ...
Abekawa, Takeshi +3 more
openaire +4 more sources
Martin and White’s (2005) APPRAISAL theory explores the ways interpersonal meanings are expressed when researching evaluative aspects of language use. Despite numerous discourse analyses using APPRAISAL, there is a lack of corpus-based research comparing
S. Lam, P. Crosthwaite
semanticscholar +1 more source
Learning‐Based Soft Robotic Grasping: Recent Progress and Remaining Challenges
This review analyzes learning‐based soft robotic grasping from a pipeline‐oriented perspective, encompassing soft gripper design, multimodal sensing, and learning‐based planning and control. It surveys key neural network architectures and benchmark datasets and identifies critical challenges such as sim‐to‐real transfer, generalization, and continual ...
Arnab Majumder +3 more
wiley +1 more source
The development of cohesion in a learner corpus
This study examines the use of cohesive devices (pragmatic markers and conjunctions) in a 24,000-word corpus of transcribed oral data from 47 learners and native speakers of English. Both of these cohesive devices increase with proficiency level, but not
Colleen A. Neary-Sundquist
doaj +1 more source
ABSTRACT Diabetes mellitus‐induced erectile dysfunction (DMED) is a highly prevalent complication among diabetic patients; however, its underlying pathogenic mechanisms remain incompletely understood. Metabolic disorder is a hallmark of diabetes, yet its precise contribution to DMED progression is not well defined.
Wanyang Guo +14 more
wiley +1 more source

