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dc.contributor.author Simonarson, Haukur Barri
dc.contributor.author Snæbjarnarson, Vésteinn
dc.contributor.author Þorsteinsson, Vilhjálmur
dc.date.accessioned 2020-09-29T15:49:34Z
dc.date.available 2020-09-29T15:49:34Z
dc.date.issued 2020-09-28
dc.identifier.uri http://hdl.handle.net/20.500.12537/71
dc.description A program library for training English-Icelandic neural machine translation systems, built on top of Tensor2Tensor and Tensorflow. Supports training with or without back-translated data. Forritasafn til að þjálfa þýðingarlíkön sem þýða milli íslensku og ensku. Uppsetningin er byggð á Tensor2Tensor og Tensorflow. Safnið styður þjálfun með og án bakþýðingargagna.
dc.language.iso isl
dc.language.iso eng
dc.publisher Miðeind ehf.
dc.rights The MIT License (MIT)
dc.rights.uri https://opensource.org/licenses/mit-license.php
dc.rights.label PUB
dc.source.uri https://github.com/mideind/GreynirT2T
dc.subject machine translation
dc.subject transformer
dc.subject neural machine translation
dc.title GreynirT2T - En--Is NMT with Tensor2Tensor (1.0)
dc.type toolService
metashare.ResourceInfo#ContentInfo.detailedType architecture
metashare.ResourceInfo#ResourceComponentType#ToolServiceInfo.languageDependent true
has.files yes
branding Clarin IS Repository
demo.uri https://velthyding.is/
contact.person Vilhjálmur Þorsteinsson clarin@mideind.is Miðeind ehf.
sponsor Ministry of Education, Science and Culture Back-translation data selection and filtering (V2b) Language Technology for Icelandic 2019-2023 nationalFunds
files.size 84520
files.count 1


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Training code for NMT
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  • GreynirT2T-greynirt2t-v1.0
    • scripts
      • interactive_decode.sh418 B
      • run.sh672 B
      • env.sh1 kB
      • train.sh452 B
      • cpu_exec.sh699 B
      • export_chosen_ckpt.sh547 B
      • translate_file.sh437 B
      • gpu_exec.sh723 B
    • LICENSE1 kB
    • .gitignore1 kB
    • README.md1 kB
    • requirements.txt35 B
    • docker
      • Dockerfile216 B
    • greynirt2t
      • __init__.py129 B
      • vocab.translate_enis16k.16384.subwords141 kB
      • noising_encoder.py4 kB
      • denoise_translate_enis_newscrawl.py10 kB
      • translate_enis.py33 kB
      • denoise_translate_enis.py10 kB
      • transformer_scorer.py1 kB
      • symbols.py9 kB
      • filters.py26 kB
    • pax_global_header52 B

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