Summary of the paper

Title Lemmatization and Morphological Tagging in German and Latin: A Comparison and a Survey of the State-of-the-art
Authors Steffen Eger, Rüdiger Gleim and Alexander Mehler
Abstract This paper relates to the challenge of morphological tagging and lemmatization in morphologically rich languages by example of German and Latin. We focus on the question what a practitioner can expect when using state-of-the-art solutions out of the box. Moreover, we contrast these with old(er) methods and implementations for POS tagging. We examine to what degree recent efforts in tagger development are reflected by improved accuracies ― and at what cost, in terms of training and processing time. We also conduct in-domain vs. out-domain evaluation. Out-domain evaluations are particularly insightful because the distribution of the data which is being tagged by a user will typically differ from the distribution on which the tagger has been trained. Furthermore, two lemmatization techniques are evaluated. Finally, we compare pipeline tagging vs. a tagging approach that acknowledges dependencies between inflectional categories.
Topics Part-of-Speech Tagging, Morphology, Grammar and Syntax
Full paper Lemmatization and Morphological Tagging in German and Latin: A Comparison and a Survey of the State-of-the-art
Bibtex @InProceedings{EGER16.656,
  author = {Steffen Eger and Rüdiger Gleim and Alexander Mehler},
  title = {Lemmatization and Morphological Tagging in German and Latin: A Comparison and a Survey of the State-of-the-art},
  booktitle = {Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC 2016)},
  year = {2016},
  month = {may},
  date = {23-28},
  location = {Portoro┼ż, Slovenia},
  editor = {Nicoletta Calzolari (Conference Chair) and Khalid Choukri and Thierry Declerck and Sara Goggi and Marko Grobelnik and Bente Maegaard and Joseph Mariani and Helene Mazo and Asuncion Moreno and Jan Odijk and Stelios Piperidis},
  publisher = {European Language Resources Association (ELRA)},
  address = {Paris, France},
  isbn = {978-2-9517408-9-1},
  language = {english}
 }
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