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The study is based on deductive and inductive content analysis of transcribed discourse data from six Change Laboratory sessions.
Discourse data suggest that this pattern reflected increased uncertainty.
These are normally used as supporting resources to the analysis of discourse data.
The objective of analysing discourse data is to find general patterns and systems and test these patterns on texts in new contexts.
Natural language interpretation has developed into a separate field, that is largely concerned with less sweeping problems, such as automated speech-to-speech discourse, data mining, and text summarization.
For this study, we drew on the critical-decision method to craft the data collection protocols and a structured approach to grounded theory (Corbin and Strauss [2007]) and the verbal analysis method (Chi [1997]) to analyze the resulting discourse data.
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Further discourse deletion data from Russian and Japanese are introduced, and principles that control them are formulated and justified.
The discourse around data sharing and collaboration has largely moved beyond urging companies to offer APIs – now the task at hand is to make the offering of quality APIs easy.
Young adolescents (aged 10-14) are often invisible in discourse and data, falling between policies and programmes focused on "children" and on "youth".
To do this, we used the verbal analysis technique of Chi ([1997]), which is a variation of protocol analysis that uses discourse-based data to identify structural features of human cognition.
In addressing these matters, we present a discourse analysis of data derived during an evaluation of the NSW Health Safety Improvement Program.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com