Students
phds@ngslt.org reaches all NGSLT students.
studreps@ngslt.org reaches the student representatives that are part of the NGSLT board. Currently these are Vera Evdokimova and Stina Ojala, and with Marcus Uneson as their substitute.
areareps@ngslt.org reaches all student area representatives, one for each participating country. These can also be reached individually:
- arearep-dk@ngslt.org Tine Lassen
- arearep-ee@ngslt.org Siiri
- arearep-fi@ngslt.org Stina Ojala
- arearep-is@ngslt.org Anna M. Sigurard
- arearep-lt@ngslt.org Giedrius Norkevicius
- arearep-lv@ngslt.org Ansis Ataols Berzins
- arearep-no@ngslt.org Emiliano R. Guevara
- arearep-ru@ngslt.org Vera Evdokimova
- arearep-se@ngslt.org Jody Foo
alumni@ngslt.org reaches all former NGSLT students.
List of students
| Samer Al Moubayed, Speech, Music and Hearing, Royal Institute of Technology KTH | |
http://www.speech.kth.se/staff/homepage/index.html?id=sameram |
|
| Multimodal Speech Synthesis | |
| Speech Communication, Talking Agents, Machine learning. | |
| Atelach Alemu Argaw, DSV, Stockholm University and KTH | |
DSV |
|
| Nazareth Amlesom Kifle, Comaparative Literature and Linguistics, University of Bergen | |
8000,00 NOK/month , quota scholarship |
|
| Applicative constructions in Tigrinya | |
| Writing Electronic Grammars | |
| Sigrun Ammendrup, Department of Humanities, University of Iceland | |
ammendrup@gmail.com |
|
| Not decided | |
| Grammar | |
| Gopal Ananthakrishnan, School of Computer Science, Royal Institute of Technology (KTH) | |
http://www.speech.kth.se/staff/homepage/index.html?id=agopal |
|
| Statistical Methods for Audiovisual-to-Articulatory Mapping. | |
| Speech Technology, Speech Production | |
| Andrea Andrenucci, Computer and System Sciences, Stockholm University/KTH | |
www.dsv.su.se/~andrea |
|
| Medical information mediation on Web portals | |
| Information Retrieval, Question Answering systems, Human Computer Interaction | |
| Krasimir Angelov, Computer Science, Chalmers University of Technology | |
http://www.chalmers.se/cse/EN/people/angelov-krasimir |
|
| Semantics Aware Parsing in the Grarnmatical Framework | |
| Computational Linguistic | |
| Lene Antonsen, Humanistisk Fakultet, Universitetet i Tromsø | |
http://uit.no/humfak/tilsette/195 |
|
| Not decided yet | |
| Language technology and Computer-Assisted Language Learning (of sami). | |
| Ansis Ataols Berzins, Institute of mathematics and informatics, University of Latvia | |
http://ansis.lv/ |
|
| Automatical comparison and typologisation of Baltic languages | |
| Computational linguistics | |
| Gintaras Barisevicius, Software Engineering, Kaunas University of Technology | |
| Lithuanian - English and English - Lithuanian Machine Translation. Machine Translation Lexikon. | |
| Ulla Bjursäter, Dept. of Linguistics, Stockholm University | |
| "From sound to word - children's early speech development" | |
| Language development | |
| Lone Bo Sisseck, Dept. of Comp. Linguistics, Copenhagen Business School | |
| Semantic relations between concepts in danish domain specific texts | |
| Terminology | |
| Martha Dís Brandt, Computer Science, Reykjavik University | |
| Shallow-transfer translation using existing open-source tools. | |
| Machine translation | |
| Björn Bringert, Computer Science and Engineering, Göteborg University | |
http://www.cs.chalmers.se/~bringert/ |
|
| Computing Science | |
| Håkan Burden, Department of Computer Science and Engineering, Chalmers University of Technology and Göteborg University | |
http://www.cs.chalmers.se/~burden/ |
|
| Robust parsing of LCFRS. | |
| Robust parsing methods for LCFRS-equivalent grammar formalisms. Linear Context-Free Rewriting Systems (LCFRS) is a Mildly Context-Sensitive Grammar formalism that exploits the benefits of separating the abstract syntax from the concrete linearizations. One advantage is that an abstract tree can be linearized by several different concrete linearizations, letting the tree work as an interlingua or pivot between the different string representations. | |
| Eduards Cauna, Faculty of physics and mathematics, University of Latvia | |
www.tehno.lv/cauna |
|
| Latvian physics terminology | |
| Physics terminology | |
| Karin Cavallin, Dept. of Linguistics, Göteborg university | |
www.ling.gu.se/~karinc |
|
| Modelling coordination of lexical meaning Towards dynamic lexicons and ontologies | |
| Lexical Semantics, Dialogue | |
| Loredana Cerrato, Dept of Speech Music and Hearing, KTH- Royal Institute of Technology | |
http://www.speech.kth.se/~loce/ |
|
| Study of feedback phenomena in unimodal and multimodal corpora of Italian and Swedish | |
| Multimodal speech communication | |
| Natalja Cigankova, Department of English, University of Latvia | |
| Linguistic and Pragmatic Aspects of Academic Electronic Discourse | |
| Academic electronic discourse analysis; CALL; CMC in ELT | |
| Philipp Conzett, Linguistics, Tromsø | |
http://uit.no/humfak/tilsette/211 |
|
| Gender assignment in Norwegian | |
| Lexicon, morphology, lexical semantics, historical linguistics | |
| Dana Dannélls, Swedish Language, Göteborg | |
| Exploring resources for producing readership-adapted documents automatically | |
| The aim of this research is to clarify how existing language technology tools and methods can be utilized in order to adapt documents for a particular category of readers, with an emphasis on the adaptation for lay readers of documents originally produced by professionals for professionals. This PhD project will explore methodologies that reduce linguistic complexity in syntax, vocabulary and rhetorical text structure. More specifically, this project will focus on empirical evaluation of approaches for generating simple and understandable documents for different categories of (non-professional) readers from professional text in an arbitrary domain. This involves investigation of a spectrum of language technology and information access methods, such as text understanding, text segmentation, topic detection, natural language generation and summarization techniques. We will identify and suggest optimal ways in which such natural language processing techniques can be brought to bear upon the problem of adapting the presentation of text content to a specific readership. Automatic simplification of technical and other kinds of documents has been studied to some extent, but almost exclusively for English. In this research we are planning to study whether the proposed approaches are applicable to Swedish. | |
| Sigita Dereskeviciute, Lithuanian language department, Vytautas Magnus university | |
www.vdu.lt |
|
| Acoustical properties of Lithuanian consonants | |
| Acoustical properties of Lithuanian consonants | |
| Philip Diderichsen, LUCS, Dept. of Philosophy, Lund University | |
| Processing of information structure in Danish dialog | |
| Janis Dzerins, Institute of Mathematics and Computer Science, University of Latvia | |
none |
|
| OWA (open world assumption) and CWA (closed world assumption) interaction and usage in data processing applications | |
| Semantic Web, Description Logic, natural language processing, knowledge representation | |
| Jakob Elming, computational linguistics, copenhagen business school | |
www.id.cbs.dk/~je |
|
| statistical machine translation | |
| Erik Eriksson, Inst. för Filosofi och Lingvistik, Umeå universitet | |
| see above | |
| Forensic linguistics / imitated voices | |
| Maria Eskevich, Department of Phonetics and Foreign Languages Teaching Methodology, Saint Petesburg State University | |
| Structural description of the language in its spoken form (on the basis of Russian) | |
| phonetics, spontaneous speech | |
| Liina Eskor, department of estonian and finno-ugric linguistics, University of Tartu | |
| Communicative Strategies in Estonian Dialogue Corpus | |
| computer linguistics (dialogue modelling), spoken language analysis | |
| Vera Evdokimova, Phonetics, Saint-Petersburg State University | |
| Phonetics, speech technologies | |
| Julia Filyasova, Department of Phonetics, St. - Petersburg State University | |
| Prosodic accent in English | |
| Phonetics, Linguistics, Speech technologies | |
| Mark Fishel, Computer Science, University of Tartu | |
| Machine learning, human-computer dialogue systems, | |
| Jody Foo, Dept. of Computer and Information Science, Linköping university | |
http://www.ida.liu.se/~jodfo/ |
|
| Computer aided Terminology Work | |
| Computational Linguistics, Term extraction Computer aided Terminology Work | |
| Eva Forsbom, Department of Linguistics and Philology, Uppsala University | |
http://stp.lingfil.uu.se/~evafo |
|
| Textlinguistic methods in summarisation and information access | |
| Computational linguistics | |
| Karin Friberg, Department of Swedish, | |
| Compounds in crosslingual information retrieval | |
| Compounds in crosslingual information retrieval | |
| Olga Gerassimenko, Estonian and Finno-Ugric Linguistics, University of Tartu | |
Unfortunately, I do not have one |
|
| "Feedback in Estonian and Russian phone conversations" | |
| contrastive research on talk-in-interaction | |
| Tatiana Gornostay, Applied Linguistics, Herzen University, Saint-Petersburg, Russia | |
haven't got any webpage |
|
| Grammatical transformations in Latvian-Russian machine translation (not decided finally) | |
| Machine translation, language modeling, grammatical transformations | |
| Sara Gotthardsson, Centre for Speech Technology(CTT), KTH, Sweden | |
| The Influence of Speaking Rate, Global Word Frequency and Segment Level Reduction on the Perceived Naturalness of Synthetic Speech | |
| Speech Technology | |
| Gintare Grigonyte, Computer Science, Kaunas University of Technology | |
| Dependancy Grammar in Natural Language | |
| computational syntactical analysis, mathematical statistics, software engineering | |
| Petr Gromov, Faculty of Mathematics & Mechanics, St.Petersburg State University | |
http://sepulkarium.blogspot.com/ |
|
| A framework for natural language syntax description | |
| Natural Language parsing | |
| Normunds Gruzitis, Institute of Mathematics and Computer Science, University of Latvia | |
| Automatic extraction/construction of lexical ontology(-ies) from existing linguistic resources of Latvian (dictionaries, encyclopedias, text corpora a.o.) | |
| Lexico-syntactic analysis and formal semantic modelling of Latvian; creation of (multilingual) dictionaries and flexible lexicon systems; NLP support for the Semantic Web | |
| Emiliano R. Guevara, Department of Linguistics and Scandinavian Studies (ILN), University of Oslo | |
http://www.hf.uio.no/iln/ |
|
| Distributional approaches to lexical semantics, corpus-based word space models | |
| Applying data-driven approaches to general linguistics (methods from computational linguistics, psycholinguistics, corpus linguistics, statistical techniques). In particular, I am interested in word formation processes (compounding and derivation), their computational representation and processing, and related implications for cognitive science and theoretical linguistics. | |
| Geir Gunnarsson, Philosophy, University of Iceland | |
| Speech Synthesis | |
| Lisa Gustavsson, Department of Linguistics, Stockholm University | |
http://www.ling.su.se/staff/lisag/ |
|
| Early language acquisition - see above. | |
| The spoken language is built upon recursive patterns of equivalent classes of speech sounds, but the acoustic representations of these sounds are anything but stable. They will vary for example depending on speaker, speaking style, situation and linguistic/phonetic context. Despite all this we have usually no problems understanding each other, that is we figure out the underlying linguistic structure in the speech signal and interpret the message. This linguistic competence in adult language users might not be that hard to explain; years of linguistic exposure and experience, knowledge about the surrounding world and expectations and hypotheses are all present during a conversation, a language “tool-box” that obviously makes the task of decoding the acoustic signal easier by reducing the search space. But how we get there in the first place, the early stages of language acquisition, is hard to explain without arguing that some kind of universal human language know-how might be present already at birth. It goes something like this: Not only is the speech input available in the infant’s linguistic environment far from acoustically equivalent speech signals (for example in utterances produced by mother and father), but there is also a huge mismatch between this typical adult input and the vocalisations produced by infant, obviously due to the immature vocal-tract of a newborn in terms of anatomy and physiology. This equivalence-problem is the focus in my thesis but I am trying to approach this “problem” of the acoustic mismatch as a structuring strength in the language acquisition process instead of a problem. The inexperienced language learner is modelled as a computational system constrained by biological principles that is forced to find a way to efficiently process an increasing flow of information in interaction with its environment. The variation in speech is thus viewed as a necessity for the infant in order to discover the lowest common denominators in speech signals – namely the linguistic structure. To put my thesis in a speech technological context and to model some of my hypotheses I will try to apply my perspective on problems within the area of speech technology. Many speech recognition systems and speech syntheses work well under good conditions but the overall performance is still far behind that of humans. It is true that human language users are equipped with grammar, syntax, context specific expectations and experience from many different speakers and listeners and this kind of expertise is indeed utilised and hard-wired in the systems. So how can an infant with almost no knowledge or experience outperform almost any speech synthesis or ASR system after only a couple of years in life? Perhaps we are missing out on some crucial pieces for a flexible yet robust system if we skip the initial naïve information processing steps and just copy the crystallised skills of the adult language user. In my thesis I am trying to model some of these initial steps of information processing in order to investigate how close to language acquisition one can get without hard-wiring knowledge beforehand. | |
| Johan Hall, MSI, | |
http://www.msi.vxu.se/~jha |
|
| Deterministic Dependency Parsing Statistical Methods | |
| Degree in Computer Science | |
| Jarle Bauck Hamar, IET, NTNU | |
| Utilizing knowledge in statistical speech recognition | |
| Speech technology | |
| Harald Hammarström, Computing Science, Chalmers | |
http://www.cs.chalmers.se/~harald2/ |
|
| Multilingual Natual Language Processing Unsupervised Learning of Morphology NLT for Linguistic Typology | |
| Martin Hassel, NADA, KTH | |
http://www.nada.kth.se/~xmartin/ |
|
| Automatic text summarization | |
| Automatic text summarization Information retrieval and extraction Statistical methods in NLP | |
| Martin Haulrich, Department of International Language Studies and Computational Linguistics, Copenhagen Business School | |
http://www.isv.cbs.dk/~mwh/ |
|
| Using synchronous parsing to ease the creation of parallel treebanks. | |
| Synchronous parsing, machine translation, statistical machine learning, parallel treebanks. | |
| Sigrún Helgadóttir, Department of Icelandic, University of Iceland | |
n.a. |
|
| Tagging and corpus building | |
| Anna Hjalmarsson, Department of Speech Music and Hearing, KTH | |
| Spoken dialogue systems | |
| Gordana Ilic Holen, Department of Informatics , University of Oslo | |
folk.uio.no/gordanil |
|
| Machine translation | |
| Maria Holmqvist, Department of computer and information science, IDA, Linköpings universitet | |
http://www.ida.liu.se/~marho |
|
| Machine translation and parallel text processing. | |
| Ola Huseth, Department of language and communication studies, NTNU | |
| Identification and Use of Medical Information in Unstructured Electronic Medical Records | |
| NLP in medicine | |
| Luke Jeffery, Bacteriology and immunology, Helsinki University | |
http://www.helsinki.fi/project/ritvos/Luke.Jeffery.htm |
|
| A bioinformatics approach to the functional analysis of TGF-beta superfamily proteins important in the ovarian context. | |
| Bioinformatics. In particular, applying skills learned in natural language processing, speech recognition and computational neuroscience to problems in reproductive biology. | |
| Arnt Richard Johansen, Department of language and communication studies, Norwegian University of Science and Technology | |
| A comparison of human and automatic evaluation of machine translation | |
| Automatic evaluation of machine translation | |
| Hildur Jónsdóttir, Icelandic Language and Literature, University of Iceland | |
| Icelandic Grammar, Icelandic Treebank | |
| Anni Järvelin, Department of information studies, University of Tampere | |
| Fuzzy matching methods in cross-language and historical IR: "Studies in text retrieval across historical and cross-language boundaries: Experiments between Scandinavian languages and in monolingual Nordic historical collections." | |
| Cross-language information retrieval | |
| Fredrik Jørgensen, Institutt for lingvistiske og nordiske studier, Universitetet i Oslo | |
http://folk.uio.no/fredrijo |
|
| Methods for automatic annotation of spoken language (Norwegian) | |
| Syntax of spoken language Methods for automatic annotation of spoken language Corpus Linguistiscs | |
| Neeme Kahusk, Psychology, Tallinn Pedagogical University | |
http://www.cl.ut.ee/inimesed/nkahusk |
|
| The role of semantic relations in word explanation task demanding quick answers | |
| Psycholinguistics | |
| Fumiko Kano Glückstad, International Language Studies and Computational Linguistics, Copenhagen Business School | |
| At the moment: "Impact of a Named Entity Database with a Triangular Structure for CLIR" | |
| Ontology, Terminology | |
| Örvar H. Kárason, Icelandic Language and Literature, University of Iceland | |
| Hanna Karkkainen, Department of Languages, University of Jyväskylä, Finland | |
| Prominence in Russian and Finnish spontaneous speech and read-aloud speech - acoustic features and learning | |
| Acoustic phonetics, prosody, language teaching and learning | |
| Bjarki M Karlsson, Department of Icelandic and Culture, University of Iceland | |
n/a |
|
| Metrical, grammatical and syntactical analyzis of poetry. | |
| Metrics, Grammar, Syntax, Language processing, Database tools, Statistics | |
| Riina Kasterpalu, Department of General Linguistics, University of Tartu | |
http://www.cl.ut.ee/inimesed/rkasterpalu/ |
|
| Response particles jah, jaa and jaajaa in Estonian spoken institutional interaction | |
| I am studying the functionality of the Estonian response particles jah, jaa, jaajaa, ahhaa and ahah in spoken Estonian in institutional settings. Method of mu study is Conversation Analysis and the outcome of the research has been already implemented in creating our own typology of Dialogue Acts for annotating The Estonian Dialogue Corpus. Earlier studies on everyday talk have mainly taken up usage of particles jah and jaa as answers to yes-no questions. In addition, especially jah has been mentioned as a closing turn in repair sequences. However, only one research has been carried out in which there was payed attention to the intonation of the particles used in naturally occured dialogues. In Estonian both particles, jah and jaa, can be used as a claim of recognition and may be produced with falling and with rising intonation. By using Praat in my analysis it came out that the particle jaajaa should be considered as an independent token not just a lexical synomym of jaa. The particle ahhaa has been treated in written studies in the same pattern as jaajaa. It has been named as a possible synomym of particle ahaa. By using Praat in addition to Conversation Analysis it came clear that both particles have their own home position. Moreover, the particle ahah is signalling that given information by coparticipant is sufficient, while in the other hand, particle ahhaa is strongly claiming additional information. | |
| Taavet Kikas, Department of Mathematics and Informatics, University of Tartu | |
http://math.ut.ee/~tkikas/ |
|
| Dialogue act recognition | |
| Dialogue act recognition Machine learning | |
| Mikaela Klami, Laboratory of Computer and Information Science, Helsinki University of Technology | |
| Applying unsupervised morph discovery in text alignment | |
| Machine translation, unsupervised discovery of morphology, parsing technologies, multilinguality; particularly from the point of view of statistical and unsupervised machine learning methods. | |
| Dana Kornishova, Department of General Linguistics, St. Petersburg State University | |
http://www.genling.nw.ru/study/sBaMaSj.htm |
|
| Reference establishment in the course of communicative interaction. | |
| Discourse analysis | |
| Jolanta Kovalevskaitė, Department of the German and French Languages, University Vytautas Magnus | |
| Corpus Linguistics | |
| Ida Kramarczyk, Computer Science, Reykjavik University | |
http://nlp.ru.is |
|
| Improving the tagging accuracy of Icelandic text | |
| POS Tagging | |
| Neringa Krapikaite, Faculty of Humanities, Vytautas Magnus University | |
| Phonology | |
| Björn Kristinsson, Dept, of philosophy, faculty of Icelandic, University of Iceland | |
http://www.hi.is/~bjornkri/ |
|
| Not entirely decided yet, but will be something like "Prosodic prediction for speech synthesis in Icelandic". | |
| Speech synthesis is where my main interest lies. | |
| Dainora Kuliesiene, Applied Informatics, Vytautas Magnus University | |
| Not decided yet | |
| Data driven speech segmentation | |
| Emilia Käsper, Institute of Computer Science, University of Tartu | |
| Sentence realization for the Estonian language | |
| Natural language generation with further interest in its applications in multilingual tools and machine translation | |
| Tine Lassen, Datalogi, RUC | |
| OntoQuery:Ontologibaserede forespørgselssystemer Mit specifikke område er semantisk analyse af NP'er (bliver indsnævret senere), samt implementering af resultater. | |
| Till Christopher Lech, Seksjon for lingvistiske fag, Universitetet i Bergen | |
http://www.kundoc.net |
|
| Knowledge-based Methods for Anaphora Resolution and Coreference Chaining (Working title) | |
| Knowledge-based Methods for Anaphora Resolution and Coreference Chaining Knowledge Acquisition from Text | |
| Steve Legrand, Computer Science, University of Jyväskylä | |
http://www.cc.jyu.fi/~stelegra/ |
|
| The use of ontologies in word sense disambiguation. | |
| Computational Linguistics | |
| Ola Leifler, Department of Human-Centered Systems, Linköpings universitet | |
http://www.ida.liu.se/~olale |
|
| critiquing using semantic desktops | |
| Critiquing as decision support in command and control applications. Semantic Desktops, information extraction and presentation | |
| Mietta Lennes, Department of Speech Sciences, University of Helsinki | |
http://www.helsinki.fi/~lennes/ |
|
| Phonetic variability of speech sounds in Finnish informal speech | |
| Phonetics | |
| Erkki Liba, Faculty of Philosophy, University of Tartu | |
| audiovisual speech synthesis in Estonian | |
| audiovisual speech synthesis | |
| Krista Liin, Mathematics and informatics, University of Tartu | |
| Language Technology | |
| Irina Likhanova, Phonetics, St. Petersburg State University | |
phonetics.pu.ru |
|
| Correlates of F0 in whispered speech | |
| speech technologies and whispered speech | |
| Jonas Lindh, Department of Linguistics, | |
www.ling.gu.se/~jonas |
|
| Forensic Speaker Identification | |
| Phonetics/Forensic Speaker Identification | |
| Kerstin Lindmark, Linguistics, Stockholm | |
| L2 interference in L1 -- a corpus-based study of translation students' translations | |
| Translation Studies using parallel corpora | |
| Peder Livijn, Dept. of Linguistics, Stockholm University | |
- |
|
| The place of articulation of the four Swedish coronals /t, d, n and l/ as a dialect dicerning feature in 107 Swedish dialects. | |
| Phonetics (Acoustic typology and dialects) | |
| Kristina Lundholm Fors, Linguistics, Göteborg | |
www.ling.gu.se/~lundholm |
|
| See above | |
| Pause production and perception in sponteanous speech and dialogue systems | |
| Björn Lundquist, CASTL/Hum.Fak, Tromsø | |
http://www2.uit.no/www/ansatte/organisasjon/ansatte/person?p_document_id=43531&p_dimension_id=31315 |
|
| see above | |
| My thesis is about nominalizations and participles in Swedish, or more general, productive de-verbal morphology in Swedish. I focus on questions related to three big fields within linguistics: verbal semantics, lexical categories and morphological syncretism. The thesis is basically a study of three suffixes: the present participle/nominalizing -a/e-nde, the nominalizing -(n)ing and the passive participle suffix (n/d/t). These suffixes all attach to verbs, but crucially not all verbs, and they all have more than one "output" (i.e., verb+(n)ing can give rise to either an event denoting or a result denoting nominal, verb+e/a-nde can either function as an adjective or a noun etc. etc.). I try in the dissertation to capture the way the (lexical) semantics of the verbal root determine the possible interpretations of the derived forms. I also discuss the way the morphemes in question "compete" in certain domain, and how to best capture cases that can be described as "blocking". | |
| Pivovarova Lydia, Philological, Saint-Petersburg State University | |
http://portal.phil.spbu.ru/structure/sub-faculties/itah_phil/teachers/pivovarova |
|
| Fact extraction from natural language texts (by the example of media texts). | |
| Information Extraction | |
| Gunn Inger Lyse, Department of Linguistics and Comparative Literature, University of Bergen | |
http://ling.uib.no/~gunn |
|
| Translationally based lexical semantics for Word Sense Disambiguation | |
| Computational linguistics: lexical semantics and word sense disambiguation | |
| Alfonso Martínez del Hoyo Canterla, Department of Electronics and Telecommunications, NTNU | |
| Automatic Speech Recogntion | |
| Nima Mazdak, , KTH | |
| Meelis Mihkla, Estonian and Finno-ugric lingvistics, University of Tartu | |
| Modelling of temporal characteristics of speech for Estonian TTS | |
| modelling of speech prosody, databases of speech units | |
| Hanne Moa, ISK, part of HF, NTNU | |
| - | |
| multi-words, robust MT | |
| Gunta Nespore, Phaculty of Philology, University of Latvia | |
| Formal analysis of motion verbs in modern Latvian and Lithuanian | |
| Lexical semantics of Baltic languages; | |
| Jyrki Niemi, Department of General Linguistics, University of Helsinki | |
http://www.ling.helsinki.fi/users/janiemi/ |
|
| Modelling and reasoning with the semantics of temporal expressions using finite-state methods | |
| Temporal representation and reasoning; calendar expressions in natural language | |
| Helen Nigol, Estonian and Finno-Ugric linguistics, University of Tartu | |
| not yet decided | |
| treebanks, formal syntax | |
| Kristina Nilsson, Department of Linguistics, Stockholm University | |
http://www.ling.su.se/staff/krinil |
|
| Coreference Resolution for Information Extraction | |
| Information Access | |
| Giedrius Norkevicius, Applied Informatics, Vytautas Magnus University | |
www.vdu.lt |
|
| Computational models of speech prosody | |
| Anni Oja, Faculty of Philology, Department of Estonian Philology, Tallinn University | |
https://www.etis.ee/portaal/isikuPublikatsioonid.aspx?TextBoxName=oja&PersonVID=39532&lang=et&FromUrl0=isikud.aspx |
|
| Analysis of Estonian internet language and communication, based on the corpus of rate.ee web portal | |
| internet communication, corpus linguistics | |
| Stina Ojala, Language Technology, University of Helsinki | |
| The handshapes of Finnish Sign Language | |
| sign language phonetics | |
| Maxim Orlovskiy, Phonetics, Saint-Petersburg State University | |
| Automatic Segmentation of Connected Speech | |
| Segmentation of connected speech is very important in speech technologies. It's accuracy mostly defines the accuracy of speech recognition. Automatic segmentation in comparison to manual needs less time and efforts. | |
| Henrik Oxhammar, Department of Linguistics, Stockholm University | |
| Not decided | |
| Automatic means for classifying/mapping text to ontology concepts. Currently working on a system for mapping product descriptions to the CPV (Common Procurement Vocabulary). | |
| Inese Ozola, Linguistics, University of Latvia | |
| Pragmalinguistic Approach to Processing Spoken Discourse in Foreign Language Acquisition | |
| Applied Linguistics, Foreign Language Listening Development | |
| Nicolai Pharao, Dept. of Nordic Studies and Linguistics (Faculty of Humanities), University of Copenhagen | |
| Variation in spontaneous speech - acoustic correlates of higher level information in production and perception | |
| My thesis focuses on variation in spontaneously spoken Danish, particularly the different variants of single words and the factors, linguistic or otherwise, which can be seen to condition the use of one particular variant among a set of possible variants of a word. The investigation will rely primarily on the classifications made by professional phonetic transcribers, which will be supplemented by acoustic analysis of the different variants in order to establish, if possible, a hierarchy of distinctiveness along with the factors that influence the “choice” of level of distinctiveness. The aim of the acoustic analysis is to determine whether fine phonetic details may be found that are omitted in a broad phonetic transcription. Perceptual experiments will help determine to what extent such fine phonetic detail is used by listeners and whether possible correlation of specific details with information at other levels of structure (e.g. morphology, syntax, discourse) is also used by listeners to decode the incoming speech signal. Thus, the first part of the study will help improve upon the naturalness of synthetic speech by providing detailed information about the signal, and the second part will contribute to an understanding of the role of "low-level" phonetics in the decoding of information at higher levels | |
| Liisi Piits, Department of General Linguistics, University of Tartu | |
| Neighbourhood collocations of the most frequent words denoting man | |
| Neighborhood collocations. Corpus design for TTS | |
| Jussi Piitulainen, Department of general linguistics, University of Helsinki | |
| Distributional similarity of words | |
| Distributional similarity of words | |
| Siiri Pärkson, Estonian and Finno-Ugric linguistics, University of Tartu | |
| dialogue acts | |
| Anton Ragni, Department of Physics, Faculty of Physics and Chemistry, University of Tartu | |
http://www.ut.ee/~ragni/ |
|
| 1) Desing and developement of LVCSR-system (named as Cicero Software Package (CSP)); 2) Large Vocabulary Continuous Speech Recognition; 3) Acoustic Modelling of Speech; 4) Decoding strategies and issues; | |
| Julia Reshetnikova, Philology, Saint-Petersburg State University | |
| Automated phase breaking of a Finnish text. | |
| Automated phase breaking. | |
| Markus Saers, Linguistics and Philology, Uppsala University | |
| My project is within the field of empirical machine translation methods. My aim is to use resources beyond simple strings currently beeing used. | |
| Yvonne Samuelsson, Dep. of Linguistics, Stockholm | |
| Computational linguistics, Treebanks, Example-based Machine Translation | |
| Baiba Saulite, Faculty of Pholology, University of Latvia | |
| Theme and rheme, word order in Latvian sentence. | |
| Text syntax and discourse analysis | |
| Janne Savela, Phonetics, University of Turku | |
| Attentive and pre-attentive processing of vowels | |
| Phonetics | |
| Anna M. Sigurðardóttir, Computer science, Reykjavík University | |
www.nemendur.ru.is/annams02/ |
|
| Improved tagging accuracy of Icelandic text | |
| Part-of-speech tagging | |
| Vera Simakina, Phonetics, Saint Petersburg State University | |
| Phonological and morphological characteristics of Yiddish language | |
| Phonology of Yiddish, Germanic languages, speech technologies, phonetics | |
| Raivis Skadins, Faculty of Physics and Mathematics, University of Latvia | |
n/a |
|
| Combined use of rule based and corpus based methods in machine translation | |
| Machine Translation | |
| Sara Stymne, Department of Computer and Information Science, Linköping University | |
www.ida.liu.se/~sarst |
|
| Preliminary topic: Machine translation | |
| My main research interest is machine translation using multilingual grammars. The work will be based on my master's thesis “Swedish-English Verb Frame Divergences in a Bilingual Head-driven Phrase Structure Grammar for Machine Translation”, in which I developed a bilingual grammar for Swedish and English with a focus on verb frame divergences. The grammar is used both for analysis and generation and has a shared semantic representation. My research project will look at different aspects of this strategy. | |
| Gunilla Svanfeldt, Speech, music and hearing, KTH | |
| Visual correlates of expressive speech | |
| Timur Svirava, Phonetics, Saint-Petersburg State University | |
| Realization of the differential features of consonants in the spontaneous speech and reading | |
| My studies are based on the material within the framework of the INTAS project concerning the comparison of the spontaneous speech and reading in three typologically different languages. I deal with the Russian language data. Concentrating on the segmental level, I consider the differences which could exist between the spontaneous speech and reading in the realization of consonants in the intervocal position and the realization of their differential features in various conditions. | |
| Margus Treumuth, Institute of Computer Science, University of Tartu | |
http://www.ut.ee/~treumuth |
|
| not decided | |
| Dialogue Modelling | |
| Kristel Uiboaed, Department of Estonian and Finno-Ugric Linguistics, University of Tartu | |
| Word explanations | |
| Riikka Ullakonoja, Department of Languages, University of Jyväskylä, Finland | |
| Acquisition of Russian intonation by Finnish students. Licenciate thesis 18th May 2009, the title "Fluency Development in L2 during Study Abroad: Finnish Students of Russian" | |
| Acoustic phonetics, prosody, teaching | |
| Marcus Uneson, Dept. of Linguistics, Lund | |
http://www.ling.lu.se/persons/Marcusu/ |
|
| Automatic induction of phonological correspondences in related languages | |
| Computational phonology, phonetic distance measures, phonetic string alignment, letter-to-sound conversion | |
| Smirnov Valentin, Phonetics, Saint-Petersburg State University | |
www.phonetics.pu.ru/smirnov/ |
|
| Phonetics, speech technologies | |
| Maria Valyuzhenich, Phonetics and Speech Technologies, St.Petersburg State University | |
| The Characteristics of The Speaker in Case of the Imitation | |
| I'm interested in Speech Recognition and Speaker Verification. I would like to analyze the individual characteristics of a certain speaker. At first I will take some records of a speaker (for example, a well-known person). Then I would analyze characteristics of his voice (the intonation, the pitch range, the characteristics of the vowels and consonants etc.) After this I will take some records of the people who imitate this person and analyze the same characteristics of their voices. After comparison I want to learn what features do the parodists imitate and which individual features of their voices rest during the imitation. | |
| Andrejs Vasiljevs, Faculty of Physics and Mathematics, University of Latvia | |
http://www.ebaltics.com/QuickPlace/forum2004/Main.nsf/h_1FCE0015E80CDA52C2256E67002575DC/657E3A894B098CD9C2256E71002D2482?OpenDocument&Form=h_PageUI |
|
| Consolidation and harmonisation of heterogenous multilingual terminology resources | |
| Information systems for terminology data Application of terminology resources for translation systems Machine Translation Cross Language Information Retrieval | |
| Sumithra Velupillai, Department of Computer and Systems Sciences, KTH/Stockholm University | |
n/a |
|
| Text clustering techniques, multi-lingual information retrieval, medical natural language processing. | |
| Kaarel Veskis, Institute of Estonian and General Linguistics, University of Tartu | |
no personal webpage |
|
| not yet decided | |
| Applications of parallel corpora | |
| Thomas Vestskov Terney, Datalogi, Roskilde Universitetscenter | |
- |
|
| - | |
| Text classification, Statistical NLP and ontologies. | |
| Kadri Vider, General Linguistics, University of Tartu | |
| Word Sense Disambiguation of Estonian Verbs According to Lexical-Syntactic Information | |
| lexical-semantic databases lexical semantics word sense disambiguation lexical functions | |
| Jessica Villing, Department of Linguistics, Göteborg University | |
www.ling.gu.se/~jessica |
|
| Dialogue systems | |
| Dialogue systems | |
| Zigrida Vincela, Faculty of Modern Languages, English Language Department, University of Latvia | |
http://www.lu.lv |
|
| Linguistic Aspects of Electronic Discourse in English Academic Writing | |
| Applied linguistics: ELT | |
| Jaakko Väyrynen, Department of Computer Science and Engineering, Helsinki University of Technology (TKK) | |
http://www.cis.hut.fi/jjvayryn/ |
|
| Emergent linguistic representations for machine translation | |
| Computer and information science, Computational linguistics, Emergent representations, Independent component analysis | |
| Matthew Whelpton, Icelandic, University of Iceland | |
http://www.hi.is/~whelpton |
|
| Not decided - related to annotation and exploitation of predicate argument structure. | |
| Semantics, Predicate Argument Structure, Syntax | |
| Linda Wiechetek, Institutt for språkvitenskap, Universitetet i Tromsø | |
| Automatic Semantic Role Annotation for Sámi | |
| Verb classes, subcategorization, semantic (role) annotation | |
| Preben Wik, TMH, KTH | |
http://www.speech.kth.se/~preben/ |
|
| Creating a virtual language tutor | |
| Language technology in language learning | |
| Gisle Ytrestøl, Informatics, Logic and natural languages, University of Oslo | |
| Design, implementation and validation of an incremental transition-based parsing algorithm for rich phrase structure grammars. | |
| Computational linguistics | |