Blar i forfatter "Argese, Chiara"

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    • Mii *eai leat gal vuollánan – Vi *ha neimen ikke gitt opp 

      Wiechetek, Linda; Pirinen, Flammie; Gaup, Børre; Argese, Chiara; Omma, Thomas (Journal article; Tidsskriftartikkel; Peer reviewed, 2022-08-30)
      Machine learning is the dominating paradigm in natural language processing nowadays. It requires vast amounts of manually annotated or synthetically generated text data. In the GiellaLT infrastructure, on the other hand, we have worked with rule-based methods, where the linguistis have full control over the development the tools. In this article we uncover the myth of machine learning being cheaper ...

    • Revisiting geomagnetic activity at auroral latitudes: No need for regular quiet curve removal for geomagnetic activity indices based on hourly data 

      Martini, Dániel; Argese, Chiara; Di Loreto, Massimo; Mursula, K. (Journal article; Tidsskriftartikkel; Peer reviewed, 2016-06-24)
      The main objective of our study is to determine if the regular quiet daily curve (QDC) subtraction is a necessary procedure in quantifying the irregular geomagnetic variations at auroral latitudes. We define the hourly ΔH index, the absolute hour-to-hour deviation in nT of the hourly geomagnetic horizontal component, which assigns each sample to sample deviation as geomagnetic activity without ...

    • Suoidne-varra-bleahkka-mála-bihkka-senet-dielku 'hay-blood-ink-paint-tar-mustard-stain' -Should compounds be lexicalized in NLP? 

      Wiechetek, Linda; Argese, Chiara; Pirinen, Tommi; Trosterud, Trond (Journal article; Tidsskriftartikkel, 2020-12-11)
      Lexicalizing compounds, in addition to treating them dynamically, is a key element in giving us idiomatic translations and detecting compound errors. We present and evaluate an e-dictionary (NDS) and a grammar checker (<i>GramDivvun</i>) for North Sámi. We achieve a coverage of 98% for NDSqueries and of 96% for compound error detection in <i>GramDivvun</i>.

    • Type-I ion outflow from the high latitude ionosphere 

      Argese, Chiara (Master thesis; Mastergradsoppgave, 2013-11-15)
      The aim of this thesis is to study type-I ion outflows in the high latitude ionosphere. Type-I ion outflows are characterized by strong perpendicular electric fields, enhanced and anisotropic ion temperatures and low electron densities below 300 km, indicating small amounts of hard particle precipitation. We scanned data from the EISCAT Madrigal database over a period of 10 years (January 2000 - ...

    • Using authentic texts for grammar exercises for a minority language 

      Antonsen, Lene; Argese, Chiara (Journal article; Tidsskriftartikkel; Peer reviewed, 2018-11-02)
      <p>This paper presents an ATICALL (Authentic Text ICALL) system with automatic visual input enhancement activities for training complex inflection systems in a minority language. We have adapted the freely available VIEW system which was designed to automatically generate activities from any web content.</p> <p>Our system is based on finite state transducers (FST) and Constraint Grammar, originally ...