Copy from Clarin: http://hdl.handle.net/20.500.12537/226

"6-GRAM Language Model in Icelandic for NeMo (Binary Format) 22.06 is a
word level n-gram language model in binary format suitable for
recognizers based on the NVIDIA-NeMo framework.

Signed-off-by: Daniel Schnell <dschnell@grammatek.com>

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Readme.txt

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+-------------------------------------------------------------------------------
+      6-GRAM Language Model in Icelandic for NeMo (Binary Format) 22.06
+-------------------------------------------------------------------------------
+
+Authors               : Carlos Daniel Hernández Mena (carlosm@ru.is).
+
+Language              : Icelandic.
+
+Recommended use       : speech recognition.
+
+-------------------------------------------------------------------------------
+Description
+-------------------------------------------------------------------------------
+
+"6-GRAM Language Model in Icelandic for NeMo (Binary Format) 22.06" is a 
+word level n-gram language model in binary format suitable for recognizers 
+based on the NVIDIA-NeMo framework [1].
+
+This language model was originally created to be used in the field of 
+Automatic Speech Recognition (ASR). In specific, it was designed for the 
+following NeMo recipe, developed by the Language and Voice Lab (LVL) at 
+Reykjavík University in 2022:
+
+  https://github.com/cadia-lvl/samromur-asr/tree/n5_samromur/n5_samromur
+
+Nevertheless, due to the flexibility of this kind of resources and their 
+possible application in other tasks, systems or code recipes; it was 
+decided to publish this model as an independent item.
+
+-------------------------------------------------------------------------------
+The Language Model
+-------------------------------------------------------------------------------
+
+The language model was created using the Icelandic Gigaword Corpus [2]. The  
+Gigaword corpus contains text from newspaper articles, parliamentary speeches, 
+adjudications, books, transcribed radio/television news and more. The 
+normalization process of the sentences utilized to generate the language 
+model includes to allowing only characters belonging to the Icelandic alphabet, 
+expanding numbers and abbreviations, and removing punctuation marks [3]. The 
+resulting text has a length of more than 44 million lines of text (5.3GB 
+approximately), and it was used to create a pruned 6-gram language model with 
+the SRILM toolkit [4]. 
+
+-------------------------------------------------------------------------------
+Citation
+-------------------------------------------------------------------------------
+
+When publishing results based on the models please refer to:
+
+   Mena, Carlos; "6-GRAM Language Model in Icelandic for NeMo (Binary Format) 
+   22.06". Web Download. Reykjavik University: Language and Voice Lab, 2022.
+
+Contact: Carlos Mena (carlosm@ru.is)
+
+License: CC BY 4.0
+
+-------------------------------------------------------------------------------
+Acknowledgements
+-------------------------------------------------------------------------------
+
+This initiative was funded by the Language Technology Programme for Icelandic 
+2019-2023. The programme, which is managed and coordinated by Almannarómur, 
+is funded by the Icelandic Ministry of Education, Science and Culture.
+
+-------------------------------------------------------------------------------
+References
+-------------------------------------------------------------------------------
+
+[1] Kuchaiev, O., Li, J., Nguyen, H., Hrinchuk, O., Leary, R., Ginsburg, 
+    B., ... & Cohen, J. M. (2019). Nemo: a toolkit for building ai 
+    applications using neural modules. arXiv preprint arXiv:1909.09577.
+
+[2] Steingrímsson, S., Helgadóttir, S., Rögnvaldsson, E., Barkarson, S., 
+    & Guðnason, J. (2018, May). Risamálheild: A very large Icelandic text 
+    corpus. In Proceedings of the Eleventh International Conference on 
+    Language Resources and Evaluation (LREC 2018).
+    
+[3] Nikulásdóttir, A. B., Helgadóttir, I. R., Pétursson, M., & Guðnason, 
+    J. (2018, May). Open ASR for Icelandic: Resources and a baseline system. 
+    In Proceedings of the Eleventh International Conference on Language 
+    Resources and Evaluation (LREC 2018).
+    
+[4] Stolcke, A. (2002). SRILM-an extensible language modeling toolkit. In 
+    Seventh international conference on spoken language processing.
+
+-------------------------------------------------------------------------------
+-------------------------------------------------------------------------------
+