A5057564372- Natural Language Processing Techniques
- Second Language Acquisition and Learning
- Metallurgy and Material Forming
- EFL/ESL Teaching and Learning
- Topic Modeling
- Text Readability and Simplification
- Glaucoma and retinal disorders
- Iterative Learning Control Systems
- Mineral Processing and Grinding
- Discourse Analysis in Language Studies
- DNA and Nucleic Acid Chemistry
- Retinal Diseases and Treatments
- Metal Alloys Wear and Properties
- Metal Forming Simulation Techniques
- VLSI and Analog Circuit Testing
- Advanced biosensing and bioanalysis techniques
- Corneal Surgery and Treatments
- Computational and Text Analysis Methods
- Syntax, Semantics, Linguistic Variation
- Ocular Diseases and Behçet’s Syndrome
- Low-power high-performance VLSI design
- Electric and Hybrid Vehicle Technologies
- Corneal surgery and disorders
- Mast cells and histamine
- Infectious Diseases and Mycology
University of Birmingham
2015-2024
Juntendo University
2012-2024
University of Pavia
2022
Gifu University
2010-2018
University of Tübingen
2018
University of Cambridge
2016-2017
Toyota Motor Corporation (Japan)
2016
Juntendo University Shizuoka Hospital
2013
Kobe Steel (Japan)
1997-2010
Osaka University
2005
This paper introduces topic modelling, a machine learning technique that automatically identifies ‘topics’ in given corpus. The illustrates its use the exploration of corpus academic English. It first offers intuitive explanation underlying mechanism modelling and describes procedure for building model, including decisions involved model-building process. then explores model. A models is characterised by set co-occurring words, we will demonstrate such topics bring us rich insights into...
We revisit morpheme studies to evaluate the long-standing claim for a universal order of acquisition. investigate L2 acquisition six English grammatical morphemes by learners from seven L1 groups across five proficiency levels. Data are drawn approximately 10,000 written exam scripts Cambridge Learner Corpus. The study establishes clear influence on absolute accuracy and their order, therefore challenging widely held view that there is morphemes. Moreover, we find specific, with encoding...
Large‐scale learner corpora collected from online language learning platforms, such as the EF‐Cambridge Open Language Database (EFCAMDAT), provide opportunities to analyze data at an unprecedented scale. However, interpreting in requires a precise understanding of tasks: How does prompt and input task its functional requirements influence task‐based linguistic performance? This question is vital for making large‐scale fruitful second acquisition research. We explore issue through analysis...
We report a new surgical technique that allows intrascleral fixation of posterior chamber intraocular lens (IOL) without sutures. The Y-fixation does not involve complicated manipulation and achieves safe sutureless fixation. A Y-shaped incision is made in the sclera 24-gauge microvitreoretinal (MVR) knife used to create sclerotomy instead needle. eliminates need raise large lamellar scleral flap use fibrin glue because haptic can be fixed both inside tunnel groove, performing with MVR...
There is a growing trend in sociolinguistics and dialectology to analyse large corpora of social media data, but it unclear if the results these studies can be generalised language as whole. To assess generalisability Twitter dialect maps, this paper presents first systematic comparison regional lexical variation traditional survey data. We compare patterns found 139 maps based on 1.8 billion word corpus geolocated UK data BBC Voices survey. A spatial analysis map pairs finds strong...
Abstract This article introduces two sophisticated statistical modeling techniques that allow researchers to analyze systematicity, individual variation, and nonlinearity in second language (L2) development. Generalized linear mixed‐effects models can be used quantify variation examine systematic effects simultaneously, generalized additive mixed for the examination of individuality, within a single model. Based on longitudinal learner corpus, this illustrates usefulness these context L2...
Abstract Current syntactic annotation of large-scale learner corpora mainly resorts to “standard parsers” trained on native language data. Understanding how these parsers perform data is important for downstream research and application related language. This study evaluates the performance multiple standard probabilistic English. Our contributions are three-fold. Firstly, we demonstrate that common practice constructing a gold – by manually correcting pre-annotation single parser can...
Abstract Multi-Dimensional Analysis (MDA) has been widely used to explore register variation. This paper reports on a project using MDA the features of an interdisciplinary academic domain. Six dimensions variation are identified in corpus 11,000 journal articles environmental studies. We then focus one journal, Global Environmental Change (GEC). It is expected that these will diverge sufficiently produce differences analogous differences. Instead identifying “registers” external criteria,...
Abstract This study adopts Oxford's (2017) definition of language learning strategies (LLS) framed by self‐regulation theory and explores the longitudinal development in use three second (L2) writing (global planning, local L1‐to‐L2 translation) Japanese university students as it interacts with cognitive, affective, environmental variables. The is innovative its a comprehensive, theoretically supported LLSs, long observation period, an explanatory sequential mixed methods design. Mixed...
We present a method of path selection and test generation for delay faults. The proposed addresses the fact that logic circuits typically have very large numbers paths, percentage these paths are untestable. selects set potentially testable long by utilizing non-enumerative identification untestable removing from consideration. Test is also applied as part method. demonstrate effectiveness presenting results benchmark circuits.
Abstract Following the trends established in psychology and emerging L2 research, we explain our support for an Open Science approach this paper (i.e., developing, analyzing sharing datasets) as a way to answer controversial complex questions applied linguistics. We illustrate with focus on frequently debated question, what underlies individual differences dynamic system of post-pubertal speech learning? provide detailed description dataset which consists spontaneous samples, elicited from...
KIT, a transmembrane receptor tyrosine kinase, is one of the specific targets for anti‐cancer therapy. In humans, its expression and mutations have been identified in malignant melanomas therapies using molecular‐targeted agents promising these tumours. As human melanoma, canine melanoma fatal disease with metastases poor response has observed all standard protocols. our study, KIT exon 11 dogs histologically confirmed oral were evaluated. Although 20 39 cases positive protein, there was no...
Abstract We investigated whether the accuracy of grammatical morphemes in second language (L2) learners’ writing is associated with usage‐based distributional factors. Specifically, we examined L2 English inflectional availability (i.e., token frequency) and contingency frequency relative to other forms same lemma) inflected word form as well formulaicity context which it occurs predictability given surrounding words). Data drawn from a large‐scale learner corpus indicated that robust...
This study investigates the effect of instructional design on (morpho)syntactic complexity in second language (L2) writing development. We operationalised terms task type and empirically based investigation a large subcorpus (669,876 writings by 119,960 learners from 128 tasks at all Common European Framework Reference for Languages levels) EF-Cambridge Open Language Database (EFCAMDAT; Geertzen, Alexopoulou Korhonen 2014). First, prompts were manually categorised (e.g. argumentation,...
Abstract Background Hay fever (HF) presents with various symptoms, including allergic conjunctivitis and rhinitis, requires cross‐organ treatment. This study assessed the impact of coronavirus disease 2019 (COVID‐19) pandemic on HF treatment trends. Methods retrospective cohort utilized data from JMDC database collected between January 2018 May 2021. Patients were identified based relevant International Classification Diseases 10th Revision diagnosis codes prescription HF‐related...
In this paper, we introduce an authorship attribution method called Authorial Language Models (ALMs) that involves identifying the most likely author of a questioned document based on perplexity calculated for set causal language models fine-tuned writings candidate author. We benchmarked ALMs against state-of-art-systems using CCAT50 dataset and Blogs50 datasets. find achieves macro-average accuracy score 83.6% Blogs50, outperforming all other methods, 74.9% CCAT50, matching performance...
In this study, we report a longitudinal study of the effects procedural task repetition on learners' performance (i.e., syntactic complexity in relation to lexical complexity). We investigated how results differences at group and individual level across each interval (T = 7). Intermediate-level Saudi learners English (N 93) performed written biweekly over course whole semester. To control for text type, mode tenor were fixed data elicitation moment, but field was varied these writing tasks...
It was the aim of this study to measure spectral transmission human crystalline lens in situ.The illuminated by one four light-emitting diodes different colors. The relative transmittance measured with Purkinje-Sanson mirror images over a wide range ages.The evaluated 36 lenses 28 subjects aged 21-76 years. There significant correlation between age and for blue light.Spectral situ could be images.