The document discusses LR parsing, which is a technique for parsing input strings according to a context-free grammar. It provides examples of parsing the input string "1 + 2 * 3" according to a sample grammar using an LR parsing table. Each step of the parsing is explained, including shifting and reducing grammar rules based on the table entries and the stack contents. The overall process demonstrates how LR parsing uses a parsing table derived from the grammar to iteratively parse the input from left to right.
社内勉強会公開可能部分のみ
~対象論文~
Crawford, Vincent P. and Juanjuan Meng(2011) “New York City Cab Drivers’ Labor Supply Revisited: Reference-Dependent Preferences with Rational-Expectations Targets for Hours and Income,” American Economic Review, 101(5), pp.1912-1932.
Camerer, Colin, Linda Babcock, George Loewenstein, and Richard Thaler(1997) “Labor Supply of New York City Cabdrivers: One Day at a Time,” Quarterly Journal of Economics, 112(2), pp.407-441.
Farber, Henry S.(2005) “Is Tomorrow Another Day? TheLabor Supply of New York City Cabdribers,” Journal of Political Economy, 113(1), pp.46-82.
Farber, Henry S.(2008) “Reference-Dependent Preferences and Labor Supply: The Case of New York City Taxi Dribers,” American Economic Review, 98 (3), pp.1069-1082.
社内勉強会公開可能部分のみ
~対象論文~
Crawford, Vincent P. and Juanjuan Meng(2011) “New York City Cab Drivers’ Labor Supply Revisited: Reference-Dependent Preferences with Rational-Expectations Targets for Hours and Income,” American Economic Review, 101(5), pp.1912-1932.
Camerer, Colin, Linda Babcock, George Loewenstein, and Richard Thaler(1997) “Labor Supply of New York City Cabdrivers: One Day at a Time,” Quarterly Journal of Economics, 112(2), pp.407-441.
Farber, Henry S.(2005) “Is Tomorrow Another Day? TheLabor Supply of New York City Cabdribers,” Journal of Political Economy, 113(1), pp.46-82.
Farber, Henry S.(2008) “Reference-Dependent Preferences and Labor Supply: The Case of New York City Taxi Dribers,” American Economic Review, 98 (3), pp.1069-1082.
This document discusses executing SQL queries and making plugins in KH Coder. It provides an overview of KH Coder and its capabilities for quantitative content analysis, text mining, and computational linguistics. It then demonstrates how to execute SQL queries directly in KH Coder to bypass search functions or automate processes using plugins. Sample plugin code is shown. Tables in the KH Coder MySQL database are outlined, including the structure of key tables like words and lemmas.
Example of Using R #1: Exporting the Result of Correspondence Analysiskhcoder
This document provides instructions for exporting the results of a correspondence analysis from KH Coder as an R file and CSV file. It explains how to save the correspondence analysis results as an R source file, then open R and execute the file to recreate the plot. It also describes how to export the X-Y coordinates from the plot as a CSV file that can be opened in other programs like SPSS to recreate the graph.
Quick Start Tutorial of KH Coder 2: Quantitative Content Analysis or Text Min...khcoder
This document provides a quick start tutorial for using KH Coder, a free software for quantitative content analysis and text mining of English language data. It outlines steps for configuring KH Coder for English, preparing a project using an English novel as sample text, performing preprocessing and analyzing word frequencies. It also demonstrates methods for exploring word co-occurrences, identifying distinctive words in chapters, and using coding rules to count concepts and perform cross tabulation of codes. The goal is to analyze themes and characteristics of each chapter in the novel.