The Acquisition and Use of Language System

1979 ◽  
Vol 2 (1) ◽  
pp. 15-26 ◽  
Author(s):  
H. G. Widdowson
Keyword(s):  
Natural Language ◽  
Language Teaching ◽  
Teaching Pedagogy ◽  
Language System ◽  
Linguistic Research

I want to discuss two lines of enquiry in applied linguistic research which have come into prominence in recent years and which promise to have a bearing on a more learner-centred approach to language teaching pedagogy. These two lines have been pursued independently and at different points on the spectrum of applied linguistic studies. Furthermore, each one concentrates on a different aspect of natural language. I want to argue that we need to find ways of relating them if their pedagogic potential is to be effectively realized.

Designing and Developing the Virtual English Adventure in Second Life

2011 ◽  
pp. 686-705
Author(s):  
Youngkyun Baek ◽  
Hoe Kyeung Kim
Keyword(s):  
Second Life ◽  
Virtual World ◽  
Teaching And Learning ◽  
Language Teaching ◽  
Learning Theories ◽  
Instructional Designers ◽  
Design And Development ◽  
English Teaching ◽  
Teaching Pedagogy ◽  
E Learning

This chapter describes the process of design and development of the Virtual English Adventure in Second Life. The in-depth description and explanation of designing and developing the tasks and activities involved in the Virtual English Adventure project provides the scale and amount of time and effort required to utilize a virtual tool for educational purposes. The Virtual English Adventure is particularly designed for English teaching and learning. The virtual world configurations, such as level tests, teleporting, missions, e-learning, interaction, gaming, and learning-facilitators, are related to both learning theories and language teaching pedagogy. Based on our own experiences, there are some important recommendations for instructional designers and researchers to consider when they design and develop the educational use of a virtual world.

scholarly journals Clinical trial cohort selection based on multi-level rule-based natural language processing system

2019 ◽  
Vol 26 (11) ◽  
pp. 1218-1226 ◽  
Author(s):  
Long Chen ◽  
Yu Gu ◽  
Xin Ji ◽  
Chao Lou ◽  
Zhiyong Sun ◽  
...  
Keyword(s):  
Clinical Trials ◽  
Natural Language Processing ◽  
Natural Language ◽  
Language Processing ◽  
Rule Based ◽  
Language System ◽  
Unified Medical Language System ◽  
Rule Based System ◽  
Medical Language ◽  
Cohort Selection

Abstract Objective Identifying patients who meet selection criteria for clinical trials is typically challenging and time-consuming. In this article, we describe our clinical natural language processing (NLP) system to automatically assess patients’ eligibility based on their longitudinal medical records. This work was part of the 2018 National NLP Clinical Challenges (n2c2) Shared-Task and Workshop on Cohort Selection for Clinical Trials. Materials and Methods The authors developed an integrated rule-based clinical NLP system which employs a generic rule-based framework plugged in with lexical-, syntactic- and meta-level, task-specific knowledge inputs. In addition, the authors also implemented and evaluated a general clinical NLP (cNLP) system which is built with the Unified Medical Language System and Unstructured Information Management Architecture. Results and Discussion The systems were evaluated as part of the 2018 n2c2-1 challenge, and authors’ rule-based system obtained an F-measure of 0.9028, ranking fourth at the challenge and had less than 1% difference from the best system. While the general cNLP system didn’t achieve performance as good as the rule-based system, it did establish its own advantages and potential in extracting clinical concepts. Conclusion Our results indicate that a well-designed rule-based clinical NLP system is capable of achieving good performance on cohort selection even with a small training data set. In addition, the investigation of a Unified Medical Language System-based general cNLP system suggests that a hybrid system combining these 2 approaches is promising to surpass the state-of-the-art performance.

A natural language system to aid simulation model formulation

1989 ◽  
Vol 16 (4) ◽  
pp. 535-543 ◽  
Author(s):  
Horng-Ming Su ◽  
Voratas Kachitvichyanukul
Keyword(s):  
Natural Language ◽  
Simulation Model ◽  
Model Formulation ◽  
Language System
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