Results 41 to 50 of about 20,400 (256)

The Productive Vocabulary Size of Second Language Learners upon Entry into Higher Education

open access: yesTheory and Practice of Second Language Acquisition
Extensive vocabulary acquisition is a cornerstone of second language (L2) proficiency, directly influencing both receptive and productive language skills.
Eihab Abu-Rabiah
doaj   +1 more source

The Relationship between Iranian EFL Learners' Reading Comprehension, Vocabulary Size and Lexical Coverage of the Text: The Case of Narrative and Argumentative Genres [PDF]

open access: yesJournal of English Language Pedagogy and Practice, 2017
This study explored the relationship between EFL learners’ vocabulary size, lexical coverage of the text and reading comprehension texts (narrative & argumentative genres).
Nader Assadi Aidinlou   +1 more
doaj  

Seeking the Portuguese Vocabulary Profile

open access: yesEPiC Series in Language and Linguistics, 2018
This paper reports on a pilot study from the Portuguese Vocabulary Profile project. In this pilot study, a vocabulary list for learners of Portuguese was developed by analysing learner corpora, an approach inspired by CEFR-based wordlists, such as the English Vocabulary Profile. A draft wordlist was constructed from two learner corpora of L2 Portuguese,
openaire   +2 more sources

Semantic Modeling in Materials Science and Engineering With Platform MaterialDigital Core Ontology 3.0

open access: yesAdvanced Engineering Materials, EarlyView.
The community‐driven Platform MaterialDigital Core Ontology (PMDco) 3.0 is introduced as a Basic Formal Ontology‐aligned semantic backbone for the processing–structure–properties paradigm in Materials Science and Engineering. Modular engineering, automated releases, and validation workflows are highlighted and key semantic patterns for materials ...
Markus Schilling   +15 more
wiley   +1 more source

Vocabulary Demands of the IELTS Listening Test: An In-Depth Analysis

open access: yesSAGE Open, 2022
The article offers an in-depth lexical analysis of the listening sub-test of the famous International English Language Testing System (IELTS). The vocabulary profile of 239 listening transcripts from 60 IELTS official practice tests were analyzed.
Doan Hieu Phung, Hung Tan Ha
doaj   +1 more source

LLM‐Integrated Human–Robot Interaction System for Microrobots

open access: yesAdvanced Robotics Research, EarlyView.
This paper proposes an LLM‐based control framework for guiding microrobots using human natural language. This framework can convert the natural human speech into safe and executable command sets for reliable navigation in complex environments. The experimental results show high accuracy and robustness in task performance, demonstrating the potential of
Bairong Zhu, Amar Salehi, Tingting Yu
wiley   +1 more source

A Corpus-Based Analysis of Vocabulary Load and Coverage in Indonesian EFL Textbook For 8th Grade

open access: yesAcuity
This research examines the vocabulary profile in 8th grade Indonesian EFL textbooks published by the Indonesian Ministry of Education in 2022 through a corpus-based approach.
Fanni Hanifah Husna   +2 more
doaj   +1 more source

Agent-based web search personalization approach using dynamic user profile

open access: yesEgyptian Informatics Journal, 2012
The World Wide Web has become the largest library through the history of the humanity. Having such a huge library made the search process more complex as the syntactic search engines offer an overwhelming amount of search results.
Ibrahim F. Moawad   +3 more
doaj   +1 more source

Identifying the Primary Odor Perception Descriptors by Multi-Output Linear Regression Models

open access: yesApplied Sciences, 2021
Semantic odor perception descriptors, such as “sweet”, are widely used for product quality assessment in food, beverage, and fragrance industries to profile the odor perceptions.
Xin Li   +4 more
doaj   +1 more source

Deep Contrastive Learning for High‐Throughput Prediction of Drug Resistance Mutations from Sequences

open access: yesAdvanced Science, EarlyView.
This study presents DeepMutDTA, a deep learning framework aimed at predicting mutation‐induced changes in protein‐drug interactions and prioritizing variants potentially linked to drug resistance. Trained on large‐scale data, it incorporates SimSiam‐MuTF, a label‐aware contrastive fine‐tuning strategy that encourages separation between WT and MT ...
Xiaowen Hu   +7 more
wiley   +1 more source

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