Applying the Canonical Text Services Model to the Coptic SCRIPTORIUM
نویسندگان
چکیده
منابع مشابه
“investigating the relationship between knowledge management and customer satisfaction considering to the e-services”
چکیده : این مطالعه تاثیر مدیریت دانش بر رضایتمندی مشتریان با توجه به خدمات الکترونیک در سازمان حمل و نقل و پایانه های استان سیستان و بلوچستان را مورد بررسی قرار می دهد. جامعه آماری این تحقیق مدیران، سرپرستان و کارشناسان مشغول به کار در سازمان حمل و نقل و پایانه های استان سیستان و بلوچستان بوده که مجموعا 94 نفر می باشند. برای تعیین حداقل نمونه از جدول مورگان استفاده شده است. که با توجه به جدول ...
A New Implementation for Canonical Text Services
This paper introduces a new implementation of the Canonical Text Services (CTS) protocol intended to be capable of handling thousands of editions. CTS was introduced for the Digital Humanities and is based on a hierarchical structuring of texts down to the level of individual words mirroring traditional practices of citing. The paper gives an overview of CTS for those that are unfamiliar and es...
متن کاملAn Overview of Canonical Text Services
This paper provides a comprehensive overview of Canonical Text Services (CTS) and the surrounding tools that were developed on the basis of a MySQL based implementation. As such it covers a broad set of topics including a general explanation of CTS, various software tools and a wide array of text mining techniques. The goal is to compile the relatively widespread and potentially confusing amoun...
متن کاملthe impact of skopos on syntactic features of the target text
the present study is an experimental case study which investigates the impacts, if any, of skopos on syntactic features of the target text. two test groups each consisting of 10 ma students translated a set of sentences selected from advertising texts in the operative and informative mode. the resulting target texts were then statistically analyzed in terms of the number of words, phrases, si...
15 صفحه اولApplying the Multiple Cause Mixture Model to Text Categorization
This paper introduces the use of the Multiple Cause Mixture Model to automatic text cat egory assignment Although much research has been done on text categorization this al gorithm is novel in that is unsupervised that is does not require pre labeled training ex amples and it can assign multiple category labels to documents In this paper we present very preliminary results of the application of...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Data Science Journal
سال: 2016
ISSN: 1683-1470
DOI: 10.5334/dsj-2016-013