Since its inception in 2010, the Linguistic Data Consortium’s data scholarship program has awarded no cost grants in data to 64 recipients from 24 countries. A survey of the twelve cycles to date – two awards each in the Fall and Spring semesters from Fall 2010 through Spring 2016 – yields an interesting view into graduate program research trends in human language technology and related fields ...

This paper will discuss issues relevant to corpus development and publication at the LDC and will illustrate those issues by examining the history of three LDC corpora. This paper will also briefly examine alternative corpus creation and distribution methods and their challenges. The intent of this paper is to increase the available linguistic resources by describing the regulatory and technica...

2. Government has undertaken its own urban renewal projects for many years. The Hong Kong Housing Society (HS) started its Urban Improvement Scheme in 1974. In 1988, the Land Development Corporation (LDC) was established to speed up the process of urban renewal. The Housing Authority (HA) has also played an important role in urban renewal, in particular by redevelopment of its own estates and a...

This paper describes our experiments on the Geographical Query Parsing pilot-task for English at GeoCLEF 2007. Our system uses some modules of a Geographical Information Retrieval system presented at GeoCLEF 2006 [3] and modified for GeoCLEF 2007. The system uses deep linguistic analysis and Geographical Knowledge to perform the task.

For increased speed in developing gigaword language resources for medium resource density languages we integrated several FOSS tools in the HUN* toolkit. While the speed and efficiency of the resulting pipeline has surpassed our expectations, our experience in developing LDC-style resource packages for Uzbek and Kurdish makes clear that neither the data collection nor the subsequent processing ...

Abstract Student feedback analysis is time-consuming and laborious work if it handled manually. This study explores the use of a new deep learning-based method to design more accurate automated system for analysing students’ ( called DTLP: learning teaching process ). The DTLP employs convolutional neural networks (CNNs), bidirectional LSTM (BiLSTM), attention mechanism. To best our knowledge, ...

abstract the study aimed at investigating the efficacy of written corrective feedback (cf) in improving iranian efl learners’ grammatical accuracy. it compared the effects of focused and unfocused written cf on the learners’ grammatical accuracy. 75 efl students formed a one control and two experimental groups. the focused feedback group was provided with error correction in tenses. the unfocus...

Recently, there is great deal of interest in the use of fuzzy expert systems in control applications. Controllers based on fuzzy logic belong to the class of static or memoryless nonlinear controllers and provide better control than is possible using linear control. The major strength of fuzzy controllers lies in the way a nonlinear output mapping of a number of inputs can be specified easily u...

As a result from modeling cortical processes of self-organization occuring during speech acquisition, a comprehensive neural model of speech production has been developed by using self-organizing neural networks and feedforward neural networks. This model is capable of generating acoustic speech signals and sensory feedback signals by using a high quality 3-dimensional articulatory-acoustic spe...