The Department of Language Science and Technology was established in 2016, bringing together the  former departments of "Computational Linguistics and Phonetics" and "Applied Linguistics, Translation and Interpreting".

Our research and teaching span many areas of language science and technology, including computational linguistics, psycholinguistics, speech science and technology, language technology, corpus linguistics, and translation science and technology.

The department has a long tradition of joint research and teaching with Computer Science, Cognitive Psychology, and the Philologies at Saarland University and collaborates with many other institutions both nationally and internationally.

09/12/18

Eröffnungs- und Einführungsveranstaltungen Wintersemester 2018/19

Semestereröffnungsveranstaltungen der Universität:

Montag, 15.10.2018:

  • 09:30 Uhr - Ökumenischer Gottesdienst - Geb. A3 1 Aula
  • 10:30 Uhr - Akademische Feier - Geb. B4 1 Audimax
  • 10:00-14:00 Uhr - Info-Basar - Geb. B4 1 (Foyer)


Einführungsveranstaltungen der Fachrichtung:

10/15/18

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.
 

10/10/18

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

10/10/18

Welcome, Fangzhou Zhai!

Alexander Koller's group welcomes our newest colleague, Fangzhou Zhai (fzhai@coli). Fangzhou will do his PhD in the SFB Project A3, where he will work on adding causal structure to script knowledge that is learned from data. He has a Master of Logic from the University of Amsterdam, and is about to complete his MSc in Computer Science in Saarbrücken.

09/19/18

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.

07/30/18

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

06/11/18

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.

06/08/18

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.

Die Saarbrücker Computerlinguistik, mittlerweile Teil der Fachrichtung Sprachwissenschaft und Sprachtechnologie, feiert am 28. Oktober in der Aula ihr 25-jähriges Bestehen.

The German Research Foundation (DFG) has granted a three year extension of their funding for Alexander Koller's research project "Efficient statistical parsing and translation for expressive grammatical formalisms with tree automata".

08/16/17

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.