Summary of the paper

Title Collecting Language Resources for the Latvian e-Government Machine Translation Platform
Authors Roberts Rozis, Andrejs Vasiļjevs and Raivis Skadiņš
Abstract This paper describes corpora collection activity for building large machine translation systems for Latvian e-Government platform. We describe requirements for corpora, selection and assessment of data sources, collection of the public corpora and creation of new corpora from miscellaneous sources. Methodology, tools and assessment methods are also presented along with the results achieved, challenges faced and conclusions made. Several approaches to address the data scarceness are discussed. We summarize the volume of obtained corpora and provide quality metrics of MT systems trained on this data. Resulting MT systems for English-Latvian, Latvian English and Latvian Russian are integrated in the Latvian e-service portal and are freely available on website HUGO.LV. This paper can serve as a guidance for similar activities initiated in other countries, particularly in the context of European Language Resource Coordination action.
Topics Corpus (Creation, Annotation, etc.), Machine Translation, SpeechToSpeech Translation, LR Infrastructures and Architectures
Full paper Collecting Language Resources for the Latvian e-Government Machine Translation Platform
Bibtex @InProceedings{ROZIS16.1224,
  author = {Roberts Rozis and Andrejs Vasiļjevs and Raivis Skadiņš},
  title = {Collecting Language Resources for the Latvian e-Government Machine Translation Platform},
  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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