Die Fachrichtung Sprachwissenschaft und Sprachtechnologie entstand im Jahr 2016 aus den ehemaligen Fachrichtungen "Angewandte Sprachwissenschaft sowie Übersetzen und Dolmetschen" und "Computerlinguistik und Phonetik (Allgemeine Linguistik)".

Forschung und Lehre in unserer Fachrichtung verknüpfen viele sprachwissenschaftliche Disziplinen, darunter insbesondere die Computerlinguistik, Psycholinguistik, Phonetik, Sprachtechnologie, Korpuslinguistik und Übersetzungswissenschaft.

Die Fachrichtung arbeitet an der Universität des Saarlandes in Forschung und Lehre seit langem mit den Nachbarfächern wie Informatik, Psychologie und den Philologien zusammen und unterhält zahlreiche aktive Kooperationen mit weiteren Institutionen auf nationaler und internationaler Ebene.

20.11.2018

Welcome to Anupama Chingacham!

This October, we welcomed Anupama Chingacham, as a doctoral student for the project (SFB 1102) A4. She will be working on adaptable Natural Language Generation systems, such that the system adapts to the perceptual load of the listener. Prior to joining SFB, she received her Masters in Natural Language Processing from University of Lorraine, France.

19.11.2018

Welcome, Muqing Li (Lydia)!

Lydia has joined Matt Crocker's group as a PhD student on the SFB 1102 project C3. She received her MA degree in Language and Communication from Radboud University, Nijmegen. Her work will focus on rational encoding and decoding of referring expressions.

20.11.2018

Welcome to Yu Chen, Anna Konobelkina, and James Whang!
Yu Chen
Anna Konobelkina
James Whang

Yu (Tracy) Chen, Anna Konobelkina, and James Whang have joined the LST department and SFB 1102.

Tracy is a PhD student in the SFB Project C4, exploring machine translation based similarity measures to explore the intercomprehension between Slavic languages.

Anna is a PhD student in the SFB Project C1, focusing on the interaction between information density and the prosodic hierarchy.

James is a postdoctoral researcher in project C1, investigating the effects of predictability as defined by Information Theory on phonetic encoding through experiments and computational modeling.

15.10.2018

Application for LST intake open!

Application for LST intake 2019 is now open as well! Application deadline: February 15th, 2019. More information can be found here.
 

10.10.2018

Application for LCT now open!

Application for LCT intake 2018 is open now! Deadlines: for non-Europeans: 15. February 2019. For Europeans: 15. May 2019. See more information here

19.09.2018

GSCL thesis award to Annemarie Friedrich

Annemarie Friedrich's PhD dissertation has been selected by the German Society for Computational Linguistics (GSCL) as the best dissertation for the years 2016-2018. The GSCL doctorial thesis award in memory of Wolfgang Hoeppner is granted every two years and marks significant progress to advance language technology and computational linguistics. The thesis, advised by Prof. Manfred Pinkal and titled "States, Events, and Generics: Computational Modeling of Situation Entity Types", will be presented at KONVENS 2018 in Vienna.

The German Research Foundation has accepted Michael Roth to the DFG Emmy Noether Programme, which gives outstanding early career researchers the opportunity to lead an independent junior research group. Michael's research group will use computational methods to investigate linguistic factors behind misunderstandings.

30.07.2018

Interview mit Prof. Elke Teich: Vokabeln auf der Waage der Wissenschaft

Saarbrücker Zeitung

An der Saar-Universität untersuchen 30 Wissenschaftler in einem Sonderforschungsbereich die Informationsdichte von Texten.

Den vollständigen Artikel können Sie hier lesen: saarbrücker-zeitung.de

S. auch Bericht: DFG-Förderranking 2018: Universität des Saarlandes unter den 40 forschungsstärksten Hochschulen

11.06.2018

Three new LSV publications

Two papers by the LSV group were accepted to this year's "ACL 2018 Workshop on Deep Learning Approaches for Low Resource Natural Language Processing (DeepLo)". Michael Hedderich and Dietrich Klakow present a method to train a neural network in a low-resource setting by using automatically annotated data and handling the noise in the labels. Clayton Greenberg, Mittul Singh and Dietrich Klakow explore the quality of embeddings of rare words, finding that below a certain number of occurrences, SWORDSS (developed at LSV in 2016) can generate better embeddings than standard word2vec.

A paper by Marc Schulder and Michael Wiegand of the LSV group and their colleague Josef Ruppenhofer from the Institute for German Language, Mannheim, was accepted at 27th International Conference on Computational Linguistics (COLING 2018). In the paper, the authors present methods for automatically identifying verbs that, like negation, can change the sentiment polarity of a phrase (e.g. "abandon hope" or "alleviate pain"). They expand the previously established mono-lingual methods by introducing cross-lingual methods that use bilingual dictionaries and cross-lingual word embeddings.

08.06.2018

2nd Phase of SFB 1102 approved

The collaborative research centre 1102 "Information Density and Linguistic Encoding", funded by the German Research Foundation (DFG), has been granted approx. 11 million euros for a four-year extension starting in July 2018. The CRC directed by Elke Teich brings together around 60 scientists from the fields of Linguistics, Psychology and Computer Science to investigate the hypothesis that language variation and language use can be better understood in terms of a speaker's desire to rationally distribute information across the linguistic signal.

Alle Bachelorstudenten und -studentinnen der Fachrichtung sind eingeladen, an einer Online-Befragung teilzunehmen, die dazu beitragen wird, die Qualität von Studium und Lehre zu verbessern.

Im Foyer von Gebäude C7 3 ist ab 19. Oktober die Ausstellung "Schriftsysteme" zu sehen. Die Ausstellung gibt einen Überblick über die Verschriftungssysteme verschiedener Sprachen: Alphabete, Gebärden und Melodie, Geheimschriften und Kunstsprachen. Auch die technischen Aspekte von schriftlicher Sprachkodierung werden behandelt.

16.08.2017

Shared task at SemEval 2018: Machine Comprehension using Commonsense Knowledge

Manfred Pinkal's group is organizing a shared task at next year's SemEval. Reading texts will be provided together with multiple choice questions. Participating systems have to pick the correct answer to each question, given the reading text. This task will require a model to make use of commonsense knowledge.