Linguistic Data Classification with Combined Comparison Measures

نویسندگان

چکیده

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Initial Comparison of Linguistic Networks Measures for Parallel Texts

In this paper we compared the properties of linguistic networks for Croatian, English and Italian languages. We constructed co-occurrence networks from parallel text corpora, consisting of the translations of five books in the three languages. We generated an Erdös-Rényi random graph with the same number of nodes and links, which enabled the comparison with linguistic co-occurrence networks, sh...

متن کامل

An Evaluation and Comparison of Linguistic Alignment Measures

Linguistic alignment has emerged as an important property of conversational language and a driver of mutual understanding in dialogue. While various computational measures of linguistic alignment in corpus and experimental data have been devised, a systematic evaluation of them is missing. In this study, we first evaluate the sensitivity and distributional properties of three measures, indiscri...

متن کامل

a comparison of nursing data classification systems

introduction: health care classifications are essential tools for collecting and processing health-related information. they also provide a unified language for interdisciplinary communications. nursing data is important for extension of knowledge, evaluating the quality and effectiveness of nursing care, and supporting human resource planning. therefore, an integrated system for collecting, st...

متن کامل

Cost Efficiency Measures In Data Envelopment Analysis With Nonhomogeneous DMUs

In the conventional data envelopment analysis (DEA), it is assumed that all decision making units (DMUs) using the same input and output measures, means that DMUs are homogeneous. In some settings, however, this usual assumption of DEA might be violated. A related problem is the problem of textit{missing} textit{data} where a DMU produces a certain output or consumes a certain input but the val...

متن کامل

Negative Selection Based Data Classification with Flexible Boundaries

One of the most important artificial immune algorithms is negative selection algorithm, which is an anomaly detection and pattern recognition technique; however, recent research has shown the successful application of this algorithm in data classification. Most of the negative selection methods consider deterministic boundaries to distinguish between self and non-self-spaces. In this paper, two...

متن کامل

ذخیره 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: Procedia Computer Science

سال: 2017

ISSN: 1877-0509

DOI: 10.1016/j.procs.2017.08.005