Background: Wolf Motor Function Test (WMFT) is used in the assessment of upper extremity motor function in stroke patients. This scale contains 15 items and assesses joint-segment movements and functional tasks. Objectives: Translation and assessment of internal consistency and reliability of the Persian version of WMFT in Iranian stroke patients. Materials and Methods: After translation ...

Introduction: The current study aims to measure the validity, reliability, and psychometric properties of the Persian translation of the Video Gaming Addiction Test (VAT). Materials and Methods: A total of 280 young men (14-20 years old) (mean ± SD age: 17.22 ± 1.8 years), including excessive gamers and normal subjects, entered the study. They answered VAT, Visual Analog Scale (VAS), and Conne...

This paper describes the translation of Object-Z speciications of container classes to C++ test oracle classes. It presents a three-stage translation process and describes how the derived test oracles are integrated into the ClassBench testing framework. The method caters for object-oriented features such as inheritance and aggregation. Translation issues and limitations of the method are discu...

ATR Interpreting Telecommunications Research Laboratories developed ATR-MATRIX speech translation system, which translates both ways between English and Japanese, enough to hold natural on-line real-time conversations. Using this system we started an end-to-end evaluation of a speech translation system through a dialog test with naive speakers who are not involved in system development and not ...

this study was conducted to identify and compare the strategies applied by two native farsi translators in rendering the culture specific items (csis) of a literary text titled savushun in their english translations. in this study, csis refer to the materials, social customs, religious concepts, and traditions available in one language and culture but nonexistent in the other language and cultu...

The concept classifier has been used as a translation unit in speech-to-speech translation systems. However, the sparsity of the training data is the bottle neck of its effectiveness. Here, a new method based on using a statistical machine translation system has been introduced to mitigate the effects of data sparsity for training classifiers. Also, the effects of the background model which is ...

The 2006 Language Engineering Workshop Open Source Toolkit for Statistical Machine Translation had the objective to advance the current state-of-the-art in statistical machine translation through richer input and richer annotation of the training data. The workshop focused on three topics: factored translation models, confusion network decoding, and the development of an open source toolkit tha...

Adaptation of statistical machine translation (SMT) systems from generic to specific domains is challenging due to the lack of training data. In this paper we propose a framework for domain adaptation by exploiting a large monolingual in-domain corpus. We identify the significant patterns to capture the domain specific writing styles. The patterns are then translated with the involvements of do...

We investigate the use of Fisher’s exact significance test for pruning the translation table of a hierarchical phrase-based statistical machine translation system. In addition to the significance values computed by Fisher’s exact test, we introduce compositional properties to classify phrase pairs of same significance values. We also examine the impact of using significance values as a feature ...

Hindi-Punjabi being closely related language pair (Goyal V. and Lehal G.S., 2008) , Hybrid Machine Translation approach has been used for developing Hindi to Punjabi Machine Translation System. Non-availability of lexical resources, spelling variations in the source language text, source text ambiguous words, named entity recognition and collocations are the major challenges faced while develop...