NoDaLiDa 2013: all accepted papers
- A Grammar Sparrer for Norwegian ↗Lars Hellan, Tore Bruland, Elias Aamot et al.
- Analysis of Phonetic Transcription for Danish Automatic Speech Recognition ↗Andreas Søeborg Kirkedal
- Baltic and Nordic Parts of the European Linguistic Infrastructure ↗Inguna Skadiņa, Andrejs Vasiļjevs, Lars Borin et al.
- Bootstrapping an Unsupervised Approach for Classifying Agreement and Disagreement ↗Bernd Opitz, Cäcilia Zirn
- Building Gold-Standard Treebanks for Norwegian ↗Per Erik Solberg
- Building a Large Automatically Parsed Corpus of Finnish ↗Filip Ginter, Jenna Nyblom, Veronika Laippala et al.
- Building an Open-Source Development Infrastructure for Language Technology Projects ↗Sjur N. Moshagen, Tommi A Pirinen, Trond Trosterud
- Classifying Multimodal Turn Management in Danish Dyadic First Encounters ↗Costanza Navarretta, Patrizia Paggio
- Combining Statistical Machine Translation and Translation Memories with Domain Adaptation ↗Samuel Läubli, Mark Fishel, Martin Volk et al.
- Constructing a Multilingual Database of Verb Valence ↗Lars Hellan, Tore Bruland
- Example-Based Treebank Querying with GrETEL–Now Also for Spoken Dutch ↗Liesbeth Augustinus, Vincent Vandeghinste, Ineke Schuurman et al.
- Exploring Features for Named Entity Recognition in Lithuanian Text Corpus ↗Jurgita Kapočiūtė-Dzikienė, Anders Nøklestad, Janne Bondi Johannessen et al.
- Features Indicating Readability in Swedish Text ↗Johan Falkenjack, Katarina Heimann Mühlenbock, Arne Jönsson
- Finite State Applications with Javascript ↗Mans Hulden, Miikka Silfverberg, Jerid Francom
- From Speech Corpus to Intonation Corpus: Clustering Phrase Pitch Contours of Lithuanian ↗Gailius Raškinis, Asta Kazlauskienė
- HPC-ready Language Analysis for Human Beings ↗Emanuele Lapponi, Erik Velldal, Nikolay A. Vazov et al.
- IPhraxtor: A Linguistically Informed System for Extraction of Term Candidates ↗Magnus Merkel, Jody Foo, Lars Ahrenberg
- Invited Keynote: 6,909 Reasons to Mess Up Your Data ↗Anders Søgaard
- Korp and Karp – A Bestiary of Language Resources: The Research Infrastructure of Språkbanken ↗Malin Ahlberg, Lars Borin, Markus Forsberg et al.
- Modeling OOV Words With Letter N-Grams in Statistical Taggers: Preliminary Work in Biomedical Entity Recognition ↗Teemu Ruokolainen, Miikka Silfverberg
- Morphological Analysis with Limited Resources: Latvian Example ↗Pēteris Paikens, Laura Rituma, Lauma Pretkalniņa
- Negation Scope Delimitation in Clinical Text Using Three Approaches: NegEx, PyConTextNLP and SynNeg ↗Hideyuki Tanushi, Hercules Dalianis, Martin Duneld et al.
- Nordic and Baltic Wordnets Aligned and Compared through “WordTies” ↗Bolette Sandford Pedersen, Lars Borin, Markus Forsberg et al.
- Normalisation of Historical Text Using Context-Sensitive Weighted Levenshtein Distance and Compound SplittingEva Pettersson, Beáta Megyesi, Joakim Nivreour summary
- Simple and Accountable Segmentation of Marked-up Text ↗Jonathon Read, Rebecca Dridan, Stephan Oepen
- Statistical Machine Translation with Readability Constraints ↗Sara Stymne, Jörg Tiedemann, Christian Hardmeier et al.
- Statistical Syntactic Parsing for Latvian ↗Lauma Pretkalniņa, Laura Rituma
- Tagging a Morphologically Complex Language Using an Averaged Perceptron Tagger: The Case of Icelandic ↗Hrafn Loftsson, Robert Östling
- Tagging the Past: Experiments using the Saga Corpus ↗Hrafn Loftsson
- The Automatic Identification of Discourse Units in Dutch Text ↗Nynke van der Vliet, Gosse Bouma, Gisela Redeker
- The INESS Treebanking Infrastructure ↗Paul Meurer, Helge Dyvik, Victoria Rosén et al.
- The IPP Effect in Afrikaans: A Corpus Analysis ↗Liesbeth Augustinus, Peter Dirix
- Towards a Dependency-Based PropBank of General Finnish ↗Katri Haverinen, Veronika Laippala, Samuel Kohonen et al.
- Using Constraint Grammar for Chunking ↗Eckhard Bick
- Using Factual Density to Measure Informativeness of Web Documents ↗Christopher Horn, Alisa Zhila, Alexander Gelbukh et al.
- Using Finite State Transducers for Making Efficient Reading Comprehension Dictionaries ↗Ryan Johnson, Lene Antonsen, Trond Trosterud
- Using Topic Models in Content-Based News Recommender Systems ↗Tapio Luostarinen, Oskar Kohonen
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