scholarly journals C-POS: A Context-Aware Adaptive Part-of-Speech Language Learning Framework

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 30720-30733
Author(s):  
Shazia Maqsood ◽  
Abdul Shahid ◽  
Fakhra Nazar ◽  
Muhammad Asif ◽  
Muhammad Ahmad ◽  
...  
Keyword(s):  
Language Learning ◽  
Context Aware ◽  
Learning Framework ◽  
Part Of Speech

Context-Aware and Adaptive Units of Learning in mLearning

2012 ◽  
Vol 3 (2) ◽  
pp. 1-25 ◽  
Author(s):  
Sergio Gómez ◽  
Ramón Fabregat
Keyword(s):  
Language Learning ◽  
Mobile Devices ◽  
Second Language Learning ◽  
Contextual Information ◽  
Technology Enhanced Learning ◽  
Context Aware ◽  
Desktop Computers ◽  
Conditional Statements ◽  
Enhanced Learning ◽  
Interest And Motivation

In technology-enhanced learning, the use of mobile applications is increasing, which improves students’ learning experiences, allowing them to carry out daily activities anytime, anywhere. However, the majority of the available learning contents have been designed for desktop computers; thus, accessing that information is limited by the technical capabilities of mobile devices. As a result, students might lose interest and motivation to learn using their mobile devices if content adaptation and learning personalization processes are not appropriately designed. In this paper, the authors present a context-aware adaptation architecture for mobile learning. In the architecture, two mechanisms based on conditional statements from the IMS Learning Design specification and a transcoding mechanism are presented. Moreover, which learner’s contextual information can be represented to design the learning process and retrieved to adapt activities and resources is explained by the description of a context-aware mobile-assisted second language learning scenario.

scholarly journals Can a kitchen teach languages? Linking theory and practice in the design of context-aware language learning environments

2015 ◽  
Vol 2 (1) ◽  
Author(s):  
Anne Preston ◽  
Madeline Balaam ◽  
Paul Seedhouse ◽  
Salla Kurhila ◽  
Lari Kotilainen ◽  
...  
Keyword(s):  
Language Learning ◽  
Learning Environments ◽  
Theory And Practice ◽  
Context Aware ◽  
Linking Theory And Practice

scholarly journals Context-Aware Zero-Shot Recognition

2020 ◽  
Vol 34 (07) ◽  
pp. 11709-11716
Author(s):  
Ruotian Luo ◽  
Ning Zhang ◽  
Bohyung Han ◽  
Linjie Yang
Keyword(s):  
Conditional Random Field ◽  
Object Relation ◽  
Visual Context ◽  
Context Aware ◽  
The Novel ◽  
Learning Framework ◽  
Shot Detection ◽  
Learning Techniques ◽  
Novel Objects ◽  
Problem Setting

We present a novel problem setting in zero-shot learning, zero-shot object recognition and detection in the context. Contrary to the traditional zero-shot learning methods, which simply infers unseen categories by transferring knowledge from the objects belonging to semantically similar seen categories, we aim to understand the identity of the novel objects in an image surrounded by the known objects using the inter-object relation prior. Specifically, we leverage the visual context and the geometric relationships between all pairs of objects in a single image, and capture the information useful to infer unseen categories. We integrate our context-aware zero-shot learning framework into the traditional zero-shot learning techniques seamlessly using a Conditional Random Field (CRF). The proposed algorithm is evaluated on both zero-shot region classification and zero-shot detection tasks. The results on Visual Genome (VG) dataset show that our model significantly boosts performance with the additional visual context compared to traditional methods.

Statistical Methods

2012 ◽  
Author(s):  
Christer Samuelsson
Keyword(s):  
Language Learning ◽  
Maximum Entropy ◽  
Statistical Methods ◽  
Language Processing ◽  
Mathematical Statistics ◽  
Semantic Interpretation ◽  
Entropy Model ◽  
Heterogeneous Information ◽  
Part Of Speech ◽  
Maximum Entropy Modelling

Statistical methods now belong to mainstream natural language processing. They have been successfully applied to virtually all tasks within language processing and neighbouring fields, including part-of-speech tagging, syntactic parsing, semantic interpretation, lexical acquisition, machine translation, information retrieval, and information extraction and language learning. This article reviews mathematical statistics and applies it to language modelling problems, leading up to the hidden Markov model and maximum entropy model. The real strength of maximum-entropy modelling lies in combining evidence from several rules, each one of which alone might not be conclusive, but which taken together dramatically affect the probability. Maximum-entropy modelling allows combining heterogeneous information sources to produce a uniform probabilistic model where each piece of information is formulated as a feature. The key ideas of mathematical statistics are simple and intuitive, but tend to be buried in a sea of mathematical technicalities. Finally, the article provides mathematical detail related to the topic of discussion.

scholarly journals Current management for word finding difficulties by speech-language therapists in South African remedial schools

2006 ◽  
Vol 53 (1) ◽  
Author(s):  
Ingrid De Rauville ◽  
Sandhya Chetty ◽  
Jenny Pahl
Keyword(s):  
Language Learning ◽  
South African ◽  
Assessment Tool ◽  
Survey Design ◽  
Group Discussion ◽  
Learning Disabled ◽  
Current Management ◽  
Part Of Speech ◽  
Word Finding ◽  
Informal Assessment

Word finding difficulties frequently found in learners with language learning difficulties (Casby, 1992) are an integral part of Speech-Language Therapists’ management role when working with learning disabled children. This study investigated current management for word finding difficulties by 70 Speech-Language Therapists in South African remedial schools. A descriptive survey design using a quantitative and qualitative approach was used. A questionnaire and follow-up focus group discussion were used to collect data. Results highlighted the use of the Renfrew Word Finding Scale (Renfrew, 1972, 1995) as the most frequently used formal assessment tool. Language sample analysis and discourse analysis were the most frequently used informal assessment procedures. Formal intervention programmes were generally not used. Phonetic, phonemic or phonological cueing were the most frequently used therapeutic strategies. The authors note strengths and raise concerns about current management for word finding difficulties in South African remedial schools, particularly in terms of bilingualism. Opportunities are highlighted regarding the development of assessment and intervention measures relevant to the diverse learning disabled population in South Africa.

Pendampingan Pembelajaran Bahasa Inggris Dasar Pada Eks-TKI Di Dusun Sumberwaru Desa Tamanagung Kecamatan Cluring Kabupaten Banyuwangi

2019 ◽  
Vol 3 (1) ◽  
pp. 38
Author(s):  
Sutami Dwi Lestari
Keyword(s):  
Language Learning ◽  
Migrant Workers ◽  
English Language ◽  
Face To Face ◽  
Part Of Speech ◽  
Learning Assistance ◽  
Service Activity ◽  
The Subject ◽  
Basic English ◽  
District Administration

English is an international language that is used as the language of world communication. Indonesian migrant workers and eks-migrant workers need the ability to communicate in English because it can affect their level of success while working in other countries. This community service activity aims to provide basic English language learning assistance to eks-TKI in sub village of Sumberwaru village, Tamanagung sub-district, Cluring, Bbanyuwangi district which is 30 kilometers from the center of the district administration. The training was attended by 12 people with four face-to-face meetings each with a duration of 2 hours. Face-to-face meetings are conducted with lecture and demonstration methods, followed by practice / practice. The subject presented was divided into three discussion materials, namely Part of speech, Tenses, and Sentences. The obstacles faced in the activity were relatively short training times and varied material capture of the participants. In general, this activity went well and received enthusiastic welcome from the participants who participated in the training completely.

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