Papers by Steinþór Steingrímsson
Language Technology Programme for Icelandic 2019-2023 (2020.lrec-1)
Copied to clipboard
Anna Nikulásdóttir, Jón Guðnason, Anton Karl Ingason, Hrafn Loftsson, Eiríkur Rögnvaldsson, Einar Freyr Sigurðsson, Steinþór Steingrímsson
| Challenge: | a new national language technology programme for Icelandic is described . the programme aims to make Icelandic usable in communication and interactions in the digital world . |
| Approach: | They describe a new national language technology programme for Icelandic . the programme aims to make Icelandic usable in communication and interactions in the digital world . |
| Outcome: | The proposed programme aims to make Icelandic usable in communication and interactions in the digital world. |
Evolving Large Text Corpora: Four Versions of the Icelandic Gigaword Corpus (2022.lrec-1)
Copied to clipboard
| Challenge: | The Icelandic Gigaword Corpus was first published in 2018 and has since grown to include more than 50 million words. |
| Approach: | They describe the evolution of the Icelandic Gigaword Corpus in its first four years . they show how the corpus has grown almost 50% in size from the first version to the fourth . |
| Outcome: | The Gigaword corpus has grown 50% from its first version to its fourth version and is now available under permissive licenses. |
Samrómur: Crowd-sourcing Data Collection for Icelandic Speech Recognition (2020.lrec-1)
Copied to clipboard
David Erik Mollberg, Ólafur Helgi Jónsson, Sunneva Þorsteinsdóttir, Steinþór Steingrímsson, Eydís Huld Magnúsdóttir, Jon Gudnason
| Challenge: | Samrómur is a web application built upon Mozilla Foundation’s open-source voice collection platform Common Voice. |
| Approach: | They describe an ongoing project of speech data collection using the web application Samrómur which is built upon Common Voice, Mozilla Foundation’s web platform for open-source voice collection. |
| Outcome: | The proposed system will be the largest open speech corpus for Icelandic collected from the public domain. |
Constructing Multimodal Language Learner Texts Using LARA: Experiences with Nine Languages (2020.lrec-1)
Copied to clipboard
Elham Akhlaghi, Branislav Bédi, Fatih Bektaş, Harald Berthelsen, Matthias Butterweck, Cathy Chua, Catia Cucchiarin, Gülşen Eryiğit, Johanna Gerlach, Hanieh Habibi, Neasa Ní Chiaráin, Manny Rayner, Steinþór Steingrímsson, Helmer Strik
| Challenge: | LARA is an open source project that aims to support easy conversion of plain texts into online versions suitable for use by language learners. |
| Approach: | They propose to support easy conversion of plain texts into online versions suitable for use by language learners. |
| Outcome: | The proposed platform is suitable for creating texts in multiple languages via crowdsourcing techniques that can be used for teaching a language via reading and listening. |
Risamálheild: A Very Large Icelandic Text Corpus (L18-1)
Copied to clipboard
| Challenge: | The corpus contains more than one billion running words from mostly contemporary texts. |
| Approach: | They present the Icelandic Gigaword Corpus (IGC) with minimal work and resources. |
| Outcome: | The Icelandic Gigaword Corpus (IGC) contains more than one billion running words from mostly contemporary texts. |
Effectively Aligning and Filtering Parallel Corpora under Sparse Data Conditions (2020.acl-srw)
Copied to clipboard
| Challenge: | Parallel corpora are key to developing good machine translation systems, but abundant parallel data is hard to come by for languages with a low number of speakers. |
| Approach: | They propose an unsupervised alignment method that can handle rich morphology by removing incorrect translations and segments containing extraneous data. |
| Outcome: | The proposed method maximizes the number of correctly translated segments in a corpus and minimises noise by removing incorrect translations and segments containing extraneous data. |
Facilitating Corpus Usage: Making Icelandic Corpora More Accessible for Researchers and Language Users (2020.lrec-1)
Copied to clipboard
| Challenge: | Gigaword corpus is a large text corpus used in natural language processing . large corpora are needed to achieve better performance in the field of NLP . |
| Approach: | They propose a set of tools to facilitate the use of the Icelandic Gigaword Corpus . they provide n-grams based on the corpus, and a variety of pre-trained word embeddings models . |
| Outcome: | The proposed tools facilitate the use of the Icelandic Gigaword corpus in the field of Natural Language Processing and other fields. |
IceBATS: An Icelandic Adaptation of the Bigger Analogy Test Set (2022.lrec-1)
Copied to clipboard
| Challenge: | a new test set that measures word embeddings' ability to recognize linguistic regularities is presented in a paper in elijsson, iran . the test sets are a good quality estimator for extrinsic evaluation of word embedded models . |
| Approach: | They propose a test set that measures language models' ability to recognize linguistic regularities in a balanced way. |
| Outcome: | The proposed set is apt at measuring the capabilities of word embedding models. |