the purpose of the present study is to develop appropriate scoring scales for each of the defined stages of the writing process, and also to determine to what extent these scoring scales can reliably and validly assess the performances of efl learners in an academic writing task. two hundred and two students’ writing samples were collected after a step-by-step process oriented essay writing ins...

Researchers and scholars have been attracted by the idea of using integrated writing task along with independent writing task to best assess the EFL learners’ writing competence. This study was conducted to compare the writing performance of EFL students in integrated and independent writing tasks. It also aimed to find out if writing performance varies with task types. A number of thirty Irani...

Abstract The current genetic evaluations of the Irish Sport Horse are undertaken on a single trait called Lifetime Performance Rating (LPR). LPR represents highest level horse has achieved two double clear rounds in show jumping both national and international performances. objective this study was to compare method currently used these (Model 1, Table 1) modified methodology determine most acc...

abstract background: the aim of this study was to determine the auditory performance of congenitally deaf children and the effect of cochlear implantation (ci) on speech intelligibility. methods: aprospective study was undertaken on 47 children in a pediatric tertiary referral center for ci. all children were deaf prelingually and were younger than 8 years of age. they were followed up until 5 ...

Writing assessments often make use of analytic rating scales to describe the criteria for different performance levels. However, the use of such rating scales requires a level of interpretation by raters and if several raters are involved, the reliability of examinee scores can be significantly affected (Engelhard, 1992; McNamara 1996). Variability between raters is partly managed by rater trai...

Question answering (QA) on table data is a challenging information retrieval task. This paper describes a QA system for tables created with both machine learning and heuristic table extraction methods. Errors were analyzed in order to improve the system using government statistical data. We also apply these improvements on another type of table data set and show the experimental results.

With the large number of existing documents and the increasing speed in the production of new documents, finding efficient methods to process these documents for their content retrieval and storage becomes critical. Tables are a popular and efficient document element type. Therefore, table structure understanding is an important problem in the document layout analysis field. This paper presents...

Routers are key building blocks in networks. They need to cope with high data rates in the range of multiple gigabit per second that are flowing through them. Therefore, specifically performance critical functions should be implemented in dedicated hardware units in order to speed up the forwarding task. These units can be embedded within regular workstations or into dedicated router architectu...