University Paris 8 <https://www.univ-paris8.fr/>, with the support of
the European
Reform University Alliance <https://erua-eui.eu/>, is pleased to announce
their upcoming Summer School:
*Corpus Methods in Linguistics--compilation, annotation and quantitative
analysis*
03-07 June 2024
https://summer-corpus-p8.sciencesconf.org/
This will be a 30h week-long course consisting of:
--morning sessions devoted to data collection, extraction and organization,
as well as DIY corpus building
--afternoon sessions focusing on statistical analysis of the data produced
during the morning sessions
--several half-day sessions on automatic annotation and manual annotation
methods
Participants will learn how to:
--formulate advanced search queries in a concordancer in *TextSTAT*
--compile a text corpus with *BootCaT*
--automatically annotate a text corpus in *TreeTagger*
--manually annotate a text corpus in *UAM CorpusTool*
--measure keyword specificity and collocation strength using *AntConc*
--perform exploratory statistical analysis for complex data using
correspondence analysis, factor analysis, and cluster analysis in *R*
--perform confirmatory statistical analysis using log-linear analysis and
regression modelling in *R*
This programme is intended primarily for researchers and upper-level
students (Masters or Doctorate).
Tuition will be 90€ (free for students from universities participating in
the ERUA <https://erua-eui.eu/> scheme, including Paris 8).
Normally, we receive more requests than we can accept, so if you wish to
participate, please fill in this form <https://forms.gle/r4VxwuH1MdUerNub9>
- https://forms.gle/E6QxWzwCzwqkADoJ9
If you have any questions, please feel free to contact us.
Dylan Glynn and Daniel Henkel
dsg.up8(a)gmail.com / daniel.henkel(a)univ-paris8.fr
Registration for the first Bavaria-wide Tensor Tournament is open. *The
Tensor Tournament T**3* is a one-day AI student competition with free food,
a live leaderboard, and all members of the three winning teams win
programmable drones. Hype up your team and register today 👉
https://the-tensor-tournament.de !
📅 *Date:* Saturday, May 4th, 2024
🕙 *Time:* 10:00 AM - 4:00 PM
📍 *Locations:* FAU, Uni Bamberg, Uni Regensburg, HS Ansbach, TH Nürnberg,
Uni Passau, TUM, LMU
*Highlights*
🔥 *3 Challenges*: Test your Machine Learning skills with three unique
challenges of increasing difficulty designed to push your boundaries and
spark your creativity. But beware, the clock is ticking! You have only 6
hours to complete the challenges.
👥 *3 Teammates*: Form a dream team of up to three students and tackle the
challenges together. Each team will get a single PC and access to powerful
GPU resources. Then, compete against the other teams for the top ranks on
our Bavarian-wide leaderboard.
🏆 *3 Winners*: The top three teams will be rewarded with amazing prices:
Programmable Ryze Tech Tello drones, some with the Booster Combo for extra
endurance.
*Conditions*
🍕 *Free food*: Enjoy free food and drinks throughout the event to keep
your energy levels high and your ideas flowing.
🚀 *We welcome all STEM students*: Whether you're a seasoned ML pro or just
starting your journey, all bachelor and master students interested in
machine learning are welcome. Basic programming knowledge in Python is
recommended, but the tournament is designed to be inclusive and engaging
for everyone. Of course, you need to be enrolled in one of the
participating universities.
👉 *First come, first serve*: GPUs are limited, so register now to secure
your spot: https://the-tensor-tournament.de
--
Prof. Dr. Jelena Mitrović
Universität Passau / ITZ / Raum 161/Innstr. 43
94032 Passau
+49 851 509 3353
https://ca-roll.github.io/
<http://www.uni-passau.de>
*** Last Mile for Research Projects Exhibition ***
36th International Conference on Advanced Information Systems Engineering
(CAiSE'24)
June 3-7, 2024, 5* St. Raphael Resort and Marina, Limassol, Cyprus
https://cyprusconferences.org/caise2024/
(*** Submission Deadline: 15th April, 2024 AoE (extended) ***)
CAiSE 2024 features a Research Project Exhibition (RPE@CAiSE'24) where researchers and
practitioners can present their ongoing research projects (e.g., Horizon or ERC projects,
national grants) in the context of Information Systems Engineering. The main objective of this
call is to serve as a forum where presenters can disseminate the intermediate results of their
projects or get feedback about research project proposals being developed. The exhibition
will also provide a warm environment to find potential research partners, foster existing
relationships, and discuss research ideas.
To participate in the RPE@CAiSE'24, the authors should submit a short paper (5-8 pages)
showcasing the project, including the participants, the main objectives of the project and
relevant results obtained so far (or expected results in the case of project proposals). Each
submission will be peer-reviewed on the relevance of the submitted paper in the context of
CAiSE 2024. If the paper is accepted, the authors will be invited to register for the conference
to present their work at the Research Projects Exhibition session at CAiSE 2024.
The accepted contributions will be proposed for publication by CEUR proceedings using the
1-column CEUR-ART style. In addition, the authors of the most influential project presented
at the RPE@CAiSE'24 will receive an award distinguishing their contribution as the "Most
Influential Project of the Research Project Exhibition @CAiSE'24".
RESEARCH PROJECTS REQUIREMENTS
For the Research Projects Exhibition, we solicit submissions of projects related to the topics
of CAiSE that meet the following criteria:
• Projects funded by the European Union, by national or local funding organisations, or even
by individual universities and industries.
• Projects focused on fundamental research, applied research or more industry-oriented.
• Research projects carried out by an international consortium of partners or by a national
research team.
• Research statements for future projects concerning the Information Systems Engineering
community.
SUBMISSION GUIDELINES
Papers should be submitted via Easychair
(https://www.easychair.org/conferences/?conf=caise2024) by selecting the "Research
Projects Exhibition". Each submission of a research project should include:
• The project's full name, acronym, duration (from-to), participants, funding agency and URL.
• Names of presenter(s) and main contributors.
• Abstract and keywords.
• Summary of project objectives and expected tangible outputs.
• The relevance of the project (or one of its work packages) to the topics of the International
Conference on Advanced Information Systems Engineering.
• If the project is ongoing: summary of current status and intermediate results.
All submissions should be 5 to 8 pages long and be formatted as a 1-column CEUR-ART style
(templates available at https://ceur-ws.org/Vol-XXX/). An intention to submit should be
performed one week before the deadline, including the full name of the project, the authors'
name and the abstract.
Each submission will be reviewed by at least two members of the Program Committee. In case
of disagreement, a third member of the Program Committee will review the submission. The
Program Committee will comprise international researchers with expertise in the field.
ATTENDANCE AND PRESENTATION
During the Research Projects Exhibition session, the authors of accepted contributions will
present the research project. Details about the format of the session and instructions to
prepare the presentation will be given to authors after the acceptance notification. At least
one author of each submission accepted for the Research Projects Exhibition must register
and attend the conference to present the work. The author needs a full registration to present
the research project.
IMPORTANT DATES
• Intention to Submit (Abstract Submission): 8th April, 2024 (AoE) (extended)
• Submission: 15th April, 2024 (AoE) (extended)
• Notification of Acceptance: 29th April, 2024
• Camera Ready: 13th May, 2024
• Author Registration: 13th May, 2024
• Conference Dates: 3rd-7th June, 2024
RESEARCH PROJECTS EXHIBITION CHAIRS
• Raimundas Matulevicius, University of Tartu, Estonia
• Henderik A. Proper, TU Wien, Austria
Apologies for cross-posting.
Call for Papers: Analysis of Linguistic VAriation for BEtter Tools (ALVABET) within the LLcD 2024 Conference (https://llcd2024.sciencesconf.org/)
Workshop
Variation plays a particularly important role in linguistic change, since every change stem from a state of variation; but each state of variation does not necessarily end up with a change: the new variant can disappear, or variation can linger but in different contexts. Access to sufficient amounts of data and their quantification, in order to detect the emergence of new variants as precisely as possible, and the recession or even disappearance of others, is a precious tool for the study of variations, whatever their dimensions (diachronic, diatopic, …) and in whatever field (syntax, morphology, …). The appearance of large corpora has thus renewed the study of variation. NLP has contributed largely to this renewal, providing tools for the enrichment and the exploration of these corpora. In return, linguistic analysis can help explain some of these errors and thus deepen the picture where performance metrics tend to flatten out everything under a single number, or even help improve the performances.
NLP annotation tools, such as syntactic parsers and morphological taggers, reach great performances nowadays when they are applied on similar data to those seen during their development. However, they quickly drop as the target data diverges from those of the training scenario. This raises a number of issues when it comes to using automatically annotated data to perform linguistic studies.
This workshop aims at exploring bilateral contributions between Natural Language Processing and variation analysis in the fields of morphosyntax and syntax, from diachronic and diatopic perspectives but also from genre, domain or form of writing, without any restriction on the languages of interest.
We warmly welcome submissions dealing with the issues and contributions of applying NLP to variation analysis :
• Quantification of variation along its different dimensions (both external and internal ones as well as in interaction with each other);
• Impact of annotation errors on the study of marginal structures (emergent or recessing);
• Syntactic variation when it is induced by semantic changes.
But also submissions dealing with the contributions of variation analysis to NLP:
• Variation mitigation (spelling standardisation...);
• Domain adaptation (domain referring here to any variation dimension);
• Error analysis (in and out of domain) in light of known variation phenomena, amongst which (de-)grammaticalisation;
• The evolution of grammatical categories and its impact on prediction models;
• The place of variation studies in NLP in the large language model era.
These themes are only suggestions and the workshop will gladly host any submission that deals substantially with the reciprocal contributions between NLP and variation analysis in the mentioned fields.
Full workshop description: https://llcd2024.sciencesconf.org/data/pages/WS12Eng.pdf
Important Dates
• Apr 20, 2024: deadline for abstract submission (Workshops and General session)
• May 15, 2024: Notification
• Sep 9-11: Conference
Submissions
Abstracts must clearly state the research questions, approach, method, data and (expected) results. They must be anonymous: not only must they not contain the presenters' names, affiliations or addresses, but they must avoid any other information that might reveal their author(s). They should not exceed 500 words (including examples, but excluding bibliographical references).
Abstracts will be assessed by two members of the Scientific Committee and (one of) the workshop organizers.
**
*Bonjour,*
*
(english announcement follows)
Dans le cadre du projet CIIAM (Contextual Information Inference for
Argument Mining) financé par l’Académie d’Excellence Réseaux,
Information et Société Numérique, visant à renforcer la robustesse des
techniques de fouille d'arguments par la synthétisation d’informations
contextuelles relevant des aspects multimodaux de la communication.
Nous invitons les doctorant(e)s en fin de thèse et les jeunes
docteur(e)s à candidater à un postdoctorat sur "l'Amélioration de la
fouille d’argument par la synthétisation d’information contextuelle" (12
mois).
--------
Contexte
--------
Parvenir à appréhender les structures argumentatives dans les entrées en
langage naturel constitue une étape clé pour de nombreuses tâches
relevant du domaine du Traitement Automatique des Langues (TAL), telles
que le résumé automatique ou l'analyse de débats politiques. Bien que
des progrès significatifs aient été réalisés grâce à l'avènement des
modèles de langue pré-entraînés, ils ne saisissent pas toujours
l'ensemble des connaissances linguistiques nécessaires pour une
compréhension contextuelle fine et l'établissement d'inférences
pertinentes. Face à ces limitations, notre projet vise à explorer
l'inclusion de la dimension d'analyse linguistique liée à la
pragmatique. Cette approche se veut particulièrement novatrice, car la
pragmatique, en raison de sa complexité à être formalisée, est très peu
étudiée d'un point de vue computationnel. C’est à travers l'utilisation
des dernières techniques de pointe en matière de "prompting" que nous
souhaitons pallier les écueils des méthodes existantes, tels que la
variabilité culturelle et l’implicite.
---------------
Pour candidater
---------------
Sujet détaillé :
https://aollagnier.github.io/publications/CIIAM%20PostDoc%20DETAILS.pdf
Début du contrat : Octobre 2024, au plus tard
Durée du contrat : 12 mois
Les candidatures comprenant un CV scientifique, une lettre de motivation
et des lettres de recommandation doivent être envoyées à Anaïs Ollagnier
(ollagnier(a)i3s.unice.fr)
Date limite : 14 Juin 2024
Laboratoire d'accueil : I3S, Sophia-Antipolis, France
Au plaisir de vous lire.
------------------------------------------------------------------------------------------------
In the context of the CIIAM project (Contextual Information Inference
for Argument Mining), funded through the France 2030 investment plan
managed by the National Research Agency (ANR), as part of the Initiative
of Excellence Université Côte d’Azur, aiming to enhance the robustness
of argument mining techniques through the synthesis of contextual
information relevant to multimodal aspects of communication.
We invite doctoral candidates nearing completion of their thesis and
young PhD graduates to apply for a postdoctoral position on "Improving
Argument Mining through the Synthesis of Contextual Information" (12
months).
--------
Context
--------
Understanding argumentative structures in natural language inputs is a
key step for many tasks in the field of Natural Language Processing
(NLP), such as automatic summarization or analysis of political debates.
Although significant progress has been made with the advent of
pre-trained language models, they do not always grasp all the linguistic
knowledge necessary for fine contextual understanding and the
establishment of relevant inferences. Faced with these limitations, our
project aims to explore the inclusion of linguistic analysis dimension
related to pragmatics. This approach is particularly innovative because
pragmatics, due to its complexity in formalization, has been scarcely
studied from a computational perspective. It is through the use of the
latest cutting-edge prompting techniques that we aim to overcome the
pitfalls of existing methods, such as cultural variability and implicit
knowledge.
---------------
To Apply
---------------
Detailed subject:
https://aollagnier.github.io/publications/CIIAM%20PostDoc%20DETAILS.pdf
Contract start: October 2024, at the latest
Contract duration: 12 months
Applications including a scientific CV, a motivation letter, and
recommendation letters should be sent to Anaïs Ollagnier
(ollagnier(a)i3s.unice.fr)
Deadline: June 14, 2024
Hosting laboratory: I3S, Sophia-Antipolis, France
*
--
Anaïs OLLAGNIER
Junior Fellow in AI 3IA Université Côte d'Azur (Polytech Nice) | I3S | INRIA wimmics team
--------------------------------------------
Templiers 1, Bureau 414, 930 Route des Colles, BP 145
06903 Sophia Antipolis Cedex, France
anais.ollagnier(a)inria.fr |https://aollagnier.github.io/
Dear Colleagues and Researchers,
We are delighted to announce that registration for the 29th
International Conference on Natural Language & Information Systems (NLDB
2024) is now officially open! The conference will be held from 25-27
June 2024 at the University of Turin, Italy.
*Register for NLDB 2024*: Click Here to Register
<https://nldb2024.di.unito.it/registration/>
NLDB 2024 brings together a vibrant community of researchers and
industry practitioners focusing on advances in Natural Language
Processing (NLP) and its applications in information systems. As the
field of NLP continues to evolve rapidly, this conference offers a prime
opportunity to stay ahead of the curve, presenting your work, sharing
insights, and forging new connections.
*Conference Highlights:*
* Engage with cutting-edge research and industrial applications of NLP.
* Network and connect with leading academics and industry experts.
* Experience a mix of oral and poster presentations, and interactive
sessions.
* Enjoy the beautiful city of Turin and its rich cultural heritage.
*Registration Policy Summary:*
* *Paper Presentation*: All accepted papers must be presented, ideally
in person.
* *Attendance*: In-person attendance is recommended, but remote
options are available.
* *Author Registration*: At least one author per paper must register
at the in-person rate by the specified deadline to ensure inclusion
in the proceedings.
* *Fees*: Early registration offers reduced fees, and special rates
are available for students to encourage young researchers'
participation.
For detailed information on fees, the registration process, and more,
please visit the NLDB 2024 Registration Page
<https://nldb2024.di.unito.it/registration/>.
Should you have any questions or need further assistance, please do not
hesitate to contact us at federico.torrielli(a)unito.it.
We look forward to welcoming you to Turin for an exciting and enriching
conference experience.
Warm regards,
The NLDB 2024 Organizing Committee
*General Chairs*:
* Luigi Di Caro, University of Turin
* Farid Meziane, University of Derby
* Amon Rapp, University of Turin
* Vijayan Sugumaran, Oakland University
Title of Special Issue: Situational Context in Register Studies
Call for papers
Situation of language use has been at the forefront of register studies. Register research in text-linguistics has documented systematic situational variation and its relationship to functional language use across culturally recognized register categories, among texts within register categories, and across hybrid registers (e.g., Biber, 1988; Biber & Egbert, 2018; Biber, Egbert, Keller, 2020). Situations of language use have also been explored by a variety of other research traditions (and referred to as ‘register,’ ‘communicative situation,’ ‘speech situation,’ ‘social situation, ’or ‘situational context’). For example, the contribution of the situation of language use to explaining linguistic variation is examined alongside linguistic variables in variationist linguistics (e.g., Szmrecsanyi , 2019). In computational research, it has served as the basis for text classification (e.g., Argamon, 2019). The effect of situations of use on individual language use is being recognized in stylistics and stylometry (e.g., Marko, Reitbauer & Pickl, 2022). Additionally, some situational variables, such as the audience and their relative status to the addressor, have been central to sociolinguistic research (e.g., Rickford & McNair-Knox, 1994) and discourse analysis (e.g., Lorson et al., 2023).
To synthesize the variety of perspectives, approaches, and conceptualizations, Register Studies invites proposals that elevate the role of situational context in linguistic research. We welcome a wide range of empirical, methodological, or theoretical papers under this scope. Papers for this special issue should highlight situational context and its integration into register studies.
Potential topics include, but are not limited to:
Applications of situational analysis to corpus design and evaluation
Analysis of situational variation across and within registers
Detailed analyses of communicative events and their communicative strategies (e.g., conflict, celebration, social gathering, etc.)
Descriptions of frameworks for situational analysis
Approaches to coding for situational characteristics
Generality and specificity of situational parameters
Situation in applied research (e.g., pedagogy, medical discourse, legal discourse, etc.)
The psycholinguistic reality of situational distinctions
Interaction of the situation of language use with other predictor variables (e.g., social status, gender)
New, unaccounted for (configurations of) situational parameters and/or novel/nonstandard situations of language use
Cross-cultural situational differences and/or situations unique to particular linguistic communities
Situation of language use and discourse-pragmatic variation
Situation of technology-mediated interactions
Important Dates
Deadline for proposals: April 15, 2024
Invitations to submit a manuscript: May 1, 2024
Initial manuscripts due: October 1, 2024
Notification of review outcome: December 1, 2024
Final manuscripts due: February 28, 2025
Special issue publication: 7:2 - Fall 2025
Proposal Format & Submission
Submit a one-page abstract for your proposed article to Associate Editors Larissa Goulart and Marianna Gracheva at Register.Studies(a)gmail.com. Please include your full contact information and a draft title. For empirical studies, the abstract should introduce the topic and motivate the study, summarize the methodological approach, describe the data to be analyzed, and summarize preliminary results. Abstracts for theoretical and methodological articles should introduce and motivate the issue to be addressed, and explain the main premises that will be included in the article. Please follow the style guide for Register Studies (available at the journal website: https://benjamins.com/catalog/rs).
Peer Review
All manuscripts will undergo double-blind peer review following the journal’s standard process.
References:
Biber, D. 1988. Variation across speech and writing. Cambridge University Press.
Biber, D., & Egbert, J. (2018). Register variation online. Cambridge University Press.
Biber, D., Egbert, J., & Keller, D. (2020). Reconceptualizing register in a continuous situational space. Corpus Linguistics and Linguistic Theory, 16(3), 581–616.
Argamon, S. (2019). Computational register analysis and synthesis. Computation and Language. https://doi.org/10.48550/arXiv.1901.02543
Lorson, A., Rhode, H., & Cummins, C. (2023). Epistemicity and communicative strategies. Discourse Processes, 60(8), 556–593.
Marko, K., Reitbauer, M., & Pickl, G. (2022). Same person, different platform. Challenges and implications for forensic authorship analysis. An exploratory study of Instagram and Twitter users. Register Studies, 4(2), 202–231.
Rickford, J. R. & McNair-Knox, F. (1994). Addressee- and topic-influenced style shift: a quantitative sociolinguistic study. In D. Biber & E. Finegan (Eds.), Sociolinguistic perspectives on register (pp. 235–276). Oxford University Press.
Szmrecsanyi, B. (2019). Register in variationist linguistics. Register Studies, 1(1), 76–99.
A multingual retrieval shared task is running again this year at TREC
2024. The NeuCLIR (i.e., neural CLIR) track contains news document
collections in Chinese, Farsi, and Russian, and support subtasks in:
* cross-lingual search: search document collections from various languages
* multlingual search: produce a unified ranked list of relevant documents
across the three collections
* report generation: produce an multi-paragraph English-language
summary based on relevant information found in the source documents
* technical document CLIR: searching in a collection of Chinese technical
abstracts
Information about the track, including task guidelines is available:
https://neuclir.github.io/2024
To participate in the track advance registration for TREC 2024 is required:
https://trec.nist.gov/pubs/call2024.html
Best,
- Paul McNamee
Dear Colleagues,
Exciting news! Join us for "*AI and Future*" at Queen’s University Belfast,
UK, on April 16, 2024, at 1:00 PM BST. It's The Alan Turing Institute AI UK
Fringe Event Public Lectures – don't miss out!
Event Details:
- Date: *April 16, 2024*, starting at 1:00 PM BST
- Format: Hybrid (Link will be shared after the registration deadline)
- Participation Fees: Free
Talks Include:
1. "Reflections on Consciousness in AI" by *Dr. Patrick Butlin,
University of Oxford, UK*
2. "Scalable Multimodal Learning and Multimedia Recommendation" by *Prof.
Jialie Shen, City, University of London, UK*
3. "Generalization Error of Neural Networks and Its Applications" by *Prof.
Wing W. Y. Ng, South China University of Technology, China*
Registration Details: Please register your interest through our
application, accessible via the following link: Application Link
<https://forms.office.com/e/6U2h0chaFS>. The deadline for registration
is *April
10, 2024*.
We look forward to your participation in this insightful event. Should you
have any questions or require further information, please feel free to
reach out to me at m.hasanuzzaman(a)qub.ac.uk
Best regards,
Mohammed
------------------------------------------------------------------------------------------------------
*Dr. Mohammed HasanuzzamanLecturer/Assistant Professor**Queen's University
Belfast <https://www.qub.ac.uk/>, UK *
*&Munster Technological University <https://www.mtu.ie/>, Ireland*
*Funded Investigator, ADAPT Centre- <https://www.adaptcentre.ie/> A
<https://www.adaptcentre.ie/>* World-Leading SFI Research Centre
<https://www.adaptcentre.ie/>
*C**hercheur Associé*, GREYC UMR CNRS 6072 Research Centre, France
<https://www.greyc.fr/en/home/>
*Associate Editor:*
* IEEE Transactions on Affective Computing, Nature Scientific Reports,
IEEE Transactions on Computational Social Systems, ACM TALLIP, PLOS One,
Computer Speech and Language**Website:
**https://mohammedhasanuzzaman.github.io/
<https://mohammedhasanuzzaman.github.io/>*
[image: Mailtrack]
<https://mailtrack.io?utm_source=gmail&utm_medium=signature&utm_campaign=sig…>
Sender
notified by
Mailtrack
<https://mailtrack.io?utm_source=gmail&utm_medium=signature&utm_campaign=sig…>
25/03/24,
22:39:35
New deadline April 15th!
Exciting EU Horizon Doctoral Network Opportunity!
Network: HORIZON Marie Skłodowska-Curie Actions (MSCA) Doctoral Network on
Computational Analysis of Semantic Change Across Different Environments
(CASCADE)
Job Title: PhD Candidate in Computational Linguistics/Digital
Humanities/Computational humanities/Corpus Linguistics
Project Title: Diachronic development of text types in the English Language
Please share with interested students!
Important: see eligibility requirements below!!
Full official advert available here:
https://www.uni-saarland.de/fileadmin/upload/verwaltung/stellen/Wissenschaft
ler/W2440.pdf
Workplace
Computational Analysis of Semantic Change Across Different Environments
(CASCADE) is a HORIZON Marie
Skłodowska-Curie Actions (MSCA) Doctoral Networks scheme which will bring
together researchers from a variety
of backgrounds, including literary studies, historical text analysis,
semantics, corpus linguistics, machine learning
and natural language processing. The project will emphasise the importance
of computational linguistics and
humanities scholarship as skills that bring value and competitive edge to
organisations concerned with semantically
aware information retrieval and text analytics. CASCADE is a partnership
between University College Cork, the
University of Sheffield, KU Leuven, the University of Helsinki, and Saarland
University.
Location
This position is to be filled at Saarland University, seeking applications
for a PhD project entitled Diachronic development of text
types in the English Language, which will be one of ten funded projects to
emerge out of CASCADE's doctoral
network. The successful candidate will be appointed as Marie Curie Early
Career Researchers at Saarland University,
enrolled in a fully-funded three-year PhD programme.
The successful candidate will be supervised by PD Dr. Stefania
Degaetano-Ortlieb. The position will be located
within the Department of Language Science and Technology. The successful
applicant will have the opportunity to
collaborate with researchers affiliated with the DFG-funded Collaborative
Research Center (CRC) 1102 on
Information Density and Linguistic Encoding at Saarland University. CRC 1102
is a thriving research environment with
over 30 PhD students and postdocs from many subfields of Linguistics,
Computational Linguistics and
Psycholinguistics. The Department of Language Science and Technology
consists of about 100 research staff in nine
research groups in the fields of Computational Linguistics,
Psycholinguistics, Speech Processing, and Corpus
Linguistics. It is part of Saarland Informatics Campus, which brings
together computer science research at the
university with world-class research institutions on campus.
Project description
The project Diachronic development of text types in the English Language
will use computational approaches to model
temporal dynamics of textual data (corpus-based and novel probabilistic
measures) for the analysis of the
development of text types in English. From the 15th century onward,
increased use of the vernacular and perceived
syntactic and lexical gaps (compared with Latin) prompted linguistic
innovation in English, concurrent with the
progressive conventionalization of text types. Existing variation was made
functional and new distinctions were either
borrowed or invented (e.g. transfer of features from medicine to cooking
recipes). Applying corpus-based and novel
probabilistic measures to investigate diachronic change and with support
from Text+ and IDeaL, the PhD candidate
will be able to: 1) determine the linguistic features of different text
types; 2) determine how these features change
over time; 3) assess the overlap of different text types and the possible
mutual influence of text types; 4) develop a
computational workflow to support the above objectives which is made
publicly available (e.g. on github).
Eligibility: This is important!
The vacancy is open to applicants of all nationalities who comply with the
mobility requirement and the degree
requirement:
* applicants must not have resided in the country of the CASCADE
university that will host them (university of the main supervisor, Germany
in this case) for more than 12 months in the 36 months preceding appointment
* applicants must not hold a doctoral degree in any other field or
have failed a corresponding doctoral examination at another higher education
institution.
More information about the Network
CASCADE is committed to creating an environment in which all talents can
develop to their maximum potential,
regardless of gender, age, cultural origin, nationality or disability. We
particularly encourage candidates from
traditionally underrepresented groups to apply.
CASCADE is advertising positions for 10 candidates within its network, who
will be housed across the five
participating universities. While applications are welcome to apply for more
than one project, applications for each
position must be submitted separately. In the event an applicant does apply
for more than one position and has a
particular preference, this should be indicated by email to PD Dr. Stefania
Degaetano-Ortlieb. Applicants are
encouraged to only apply for projects for which they are ideally qualified
and suitable. The recruitment process will
be done centrally by the CASCADE selection committee.
Job requirements and responsibilities
* Participation in the general training programme of the doctoral
network (kick-off, monthly online research meetings, annual workshops and
schools, and final conference)
* Collaboration with a multidisciplinary research group focused on the
intersection of Computational Linguistics, Linguistics, and Digital
Humanities.
* Creation of a typology of diachronic text types.
* Large-scale analysis of the evolution of meaning across text types.
* Development of a computationally supported methodology for
diachronic text typology.
* Participation in joint publications and engagement in academic
service.
* The successful candidate will be expected to participate in a series
of international conferences and workshops, as well as undertake secondments
in Germany and abroad.
Your academic qualifications
* Completed university studies in English Linguistics with strong
historical and/or corpus-based background, Digital Humanities, Corpus
Linguistics, Computational Linguistics, or related fields, held by time of
appointment (MA-degree)
* Language skills (according to GER): English B2
The successful candidate will also be expected to:
* Demonstrated experience in applying text-/corpus-based or
comparative approaches to the analysis of language variation (e.g.,
diachronic, sociolinguistic, multilingual variation) (desirable);
* Capability to bridge the gap between data science and the humanities
(essential);
* Enthusiasm for inter- and multidisciplinary research and ability to
work independently and collaboratively (essential);
* Strong research, analytical, and organizational skills (essential);
* Excellent written and verbal communication skills (essential);
* A good command of English is mandatory;
* Language skills (according to GER): English B2
What we can offer you:
* A flexible work schedule allowing you to balance work and family
* Interdisciplinary supervision and structured PhD training
* An occupational health management model with numerous attractive
options, such as our university sports program
* A broad range or further education and professional development
programmes (e.g. language courses)
Applicants are requested to enclose the following documents in English with
their application:
1. A curriculum vitae, including any publications (max. 10 pages);
2. A cover statement outlining the applicant's ambitions for Diachronic
development of text types in the English Language and the wider CASCADE
network (max. 2 pages);
3. A single-authored writing sample from your previous studies (any
length).
We look forward to receiving your meaningful online application (in a PDF
file) by 15.04.2024 (extension is planned) to
s.degaetano(a)mx.uni-saarland.de <mailto:s.degaetano@mx.uni-saarland.de> .
Please include the reference number W2440 in the subject line of the e-mail.
If you have any questions, please contact us for assistance.
Your contact:
PD Dr. Stefania Degaetano-Ortlieb
Assistant Professor (Akademische Rätin)
Department of Language Science and Technology
Saarland University
Campus A2.2
66123 Saarbrücken
s.degaetano(a)mx.uni-saarland.de <mailto:s.degaetano@mx.uni-saarland.de>
www.stefaniadegaetano.com <http://www.stefaniadegaetano.com/>