several empirical methods for flood flow rate estimation have been presented. in this study,eight new empirical runoff estimation method including dredge & burge, bourges, inglis, faning, hyderabad, burkli ziegler, cramar and possenti were calculated in bakhtegan watershed which is located in fars province. after studying empirical methods for annual flood flow rate estimation and comparing...

Empirical studies on formal methods and tools are rare. In this paper, we provide guidelines for such studies. We mention their main ingredients then define nine different study strategies (usability testing, laboratory experiments with software human subjects, case studies, qualitative surveys, judgement systematic literature reviews, mapping studies) discuss each of them crucial characteristi...

The goal of this handout is to present the most common empirical methods used in applied economics. Excellent references for the program evaluation and natural experiment approach are Angrist and Krueger (1999), and Mayer (1999). Angrist and Krueger (1999) contains more material and at a more detailed level than this handout and should be a high priority paper to read for students planning to w...

für Naturforschung in cooperation with the Max Planck Society for the Advancement of Science under a Creative Commons Attribution 4.0 International License. Dieses Werk wurde im Jahr 2013 vom Verlag Zeitschrift für Naturforschung in Zusammenarbeit mit der Max-Planck-Gesellschaft zur Förderung der Wissenschaften e.V. digitalisiert und unter folgender Lizenz veröffentlicht: Creative Commons Namen...

This paper describes VERTa’s submission to the 2015 EMNLP Workshop on Statistical Machine Translation. VERTa is a linguistically-motivated metric that combines linguistic features at different levels. In this paper, VERTa is described briefly, as well as the three versions submitted to the workshop: VERTa70Adeq30Flu, VERTa-EQ and VERTaW. Finally, the experiments conducted with the WMT14 data ar...

Empirical methods in Natural Language Processing (NLP) and Machine Translation (MT) have become mainstream in the research field. Accordingly, it is important that the tools and techniques in these paradigms be taught to potential future researchers and developers in University courses. While many dedicated courses on Statistical NLP can be found, there are few, if any courses on Empirical Appr...

We describe our work in the EMNLP 2016 second code-switching shared task; a generic language independent framework for linguistic code switch point detection (LCSPD). The system uses characters level 5-grams and word level unigram language models to train a conditional random fields (CRF) model for classifying input words into various languages. We participated in the Modern Standard Arabic (MS...