30.3674, Internships: Applied Linguistics; Computational Linguistics; Psycholinguistics: Pro-TEXT Processes of Textualization, University of Poitiers

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LINGUIST List: Vol-30-3674. Mon Sep 30 2019. ISSN: 1069 - 4875.

Subject: 30.3674, Internships: Applied Linguistics; Computational Linguistics; Psycholinguistics: Pro-TEXT Processes of Textualization, University of Poitiers

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Date: Mon, 30 Sep 2019 12:05:13
From: Georgeta Cislaru [georgeta.cislaru at sorbonne-nouvelle.fr]
Subject: Applied Linguistics; Computational Linguistics; Psycholinguistics: Pro-TEXT Processes of Textualization, University of Poitiers, France

 

University or Organization: University of Poitiers
Department: CNRS
Type of Work: Data Collection And Analysis

Linguistic Field(s): Applied Linguistics
                     Computational Linguistics
                     Psycholinguistics

Duration: 01-Nov-2019 to 31-Oct-2020
Compensation: Paid about 3000 euros gross
Internship Location: Poitiers, France
Minimum Education Level: MA
Special Qualifications: The ideal candidate must hold a Master's degree in psychology (cognitive psychology, psycholinguistics) or a Master's degree in linguistics (but with a very good knowledge in psycholinguistics of writing). Statistical skills are needed. Finally, programming skills will be welcome.

A knowledge of French is also necessary to work on the categorization of bursts of writing. 


Description:
Under the supervision of Thierry Olive (Research Director at CNRS), the
research assistant will:

- Become familiar with the scientific literature on the study of written
production, and in particular the real-time analysis of writing.
- Participate in data collection
- Process writing logs collected via keylogging (inputlog, scriptlog ...)
- Develop analyses scripts
- Perform statistical analyses

Duration: 12 months, from early November.

Remuneration: approximately 3000 euros gross

Application
Documents to attach to a single PDF file:
- A CV.
- A cover letter explaining how the skills of the candidates are adapted to
the work expected.
- The copy of the Master’s thesis and a copy of the diploma of Master 2 (if
available).
- A summary of previous scientific and research work.

The pre-selected candidates will be invited to present their application in an
interview. More detailed information on the modalities of the interview will
be sent to the pre-selected candidates.

Project Description:
This research project aims at providing a comprehensive analysis of the
textualization process, i.e. the real-time progressive construction of a text.
Written texts are produced under complex constraints, which are now possible
to capture with real-time recording of writing process using keystroke
logging. Real-time recording of the writing process produces temporal data
(e.g., pause length), language data (language sequences produced continuously
between two pauses, i.e. bursts of written language), and topological data
indicating location of the textual operations in the text.

The main objects of the project are bursts of writing, which are textual
segments produced between two pauses as for example in:  [pause] une cousine
qui [pause] peut venir partager du temps avec elle pendant [pause] le [pause]
w [pause] eek [pause] – [pause] end. [pause]

The selected candidate will have to processes log files in order to gather
dynamical parameters of pauses and bursts parameters (length, duration) with
the aim of examining how the pause preceding a burst and the burst parameter
vary with different thresholds and with different cognitive constraints. The
selected candidate will be in charge of data processing of the log files, of
extracting pauses and bursts after having applied the different criteria of
pause thresholds. 
Relating pauses and bursts is of crucial importance for further comprehending
how adopting a particular pause may affect burst characteristics. Starting
from the hypothesis that cognitive and linguistic factors impact pause
duration and therefore subsequent bursts, the selected candidate will apply
statistical models of pause length and burst characteristics In particular, we
assume that different dimensions of pauses and bursts can be grouped in
classes, each class referring to a set of cognitive writing processes.
Conversely, we will examine how the length of a specific pause may determine
the following burst.


Application Deadline: 03-Oct-2019

Contact Information:
	Dr Thierry Olive 
	Email: thierry.olive at univ-poitiers.fr


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