MT: Moses-SMT (1.0)

Jónsson, Haukur Páll; Loftsson, Hrafn; Steingrímsson, Steinþór

MT: Moses-SMT (1.0)

Clarin IS Repository

Authors: Jónsson, Haukur Páll ; Loftsson, Hrafn and Steingrímsson, Steinþór

Item identifier: http://hdl.handle.net/20.500.12537/46

Project URL: https://github.com/cadia-lvl/SMT

Demo URL: https://nlp.cs.ru.is/moses/translateText

Date issued: 2020-06-23

Type: toolService

Language(s): English , Icelandic

Description: Moses phrase-based statistical machine translation (Moses PBSMT) is a system which is used to develop and run machine translation models. It is distributed here as four packages: 1. Code from a github repository to train and run models. 2. Pretrained is-en system (Docker) 3. Pretrained en-is system (Docker) 4. Frontend to pre- and postprocess text for translation (Docker) The models here are not (exactly) the same as were used for human evaluation. These models have additionally been trained on open dictionaries to extend their vocabularies. Moses phrase-based statistical machine translation (Moses PBSMT) er kerfi til þess að þróa og keyra tölfræðilegar vélþýðingar. Hér er dreift fjórum pökkum: 1. Kóða af github geymslusvæði fyrir þjálfun og keyrslu á líkönum 2. Forþjálfuðu is-en vélþýðingarlíkani (Docker) 3. Forþjálfuðu en-is vélþýðingarlíkani (Docker) 4. Framenda til að for- og eftirvinna texta fyrir þýðingar (Docker) Líkönin sem eru sett hér eru ekki (nákvæmlega) þau sömu og voru notuð við mannlegt mat. Þessi líkön hafa aukalega verið þjálfuð á gögnum úr opnum orðabókum til þess að auka orðaforða.

Publisher: Reykjavik University

Subject(s): machine translation statistical machine translation moses

Collection(s): Clarin IS

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SMT-master
- README.md4 kB
- .gitignore149 B
- preprocessing
  - README.md1 kB
  - tests
    - test_api.py184 B
    - list_merging.py1 kB
    - serialization.py1 kB
    - test_read_rmh.py526 B
    - memory_footprint.py304 B
    - test_pipeline.py1 kB
  - docker-build.sh164 B
  - preprocessing
    - client.py750 B
    - file_handler.py4 kB
    - types.py470 B
    - api.py5 kB
    - __init__.py0 B
    - server.py3 kB
    - pipeline.py13 kB
    - resources
      - truecase-model.en13 MB
      - truecase-model.is34 MB
      - __init__.py0 B
      - tok.is7 MB
  - conftest.py0 B
  - requirements.txt1 kB
  - Dockerfile283 B
  - main.py9 kB
  - LICENSE1 kB
- scripts
  - README.md842 B
  - run_in_singularity.sh764 B
  - 2preprocess
    - preprocess.sh2 kB
    - lm.sh871 B
  - 1format
    - extract_dicts.sh1 kB
    - en_mono_format.py4 kB
  - environment.sh1 kB
  - 4package
    - docker-build.sh543 B
    - README.md1 kB
    - docker-run.sh117 B
    - Dockerfile55 B
  - 3train
    - dict.sh4 kB
    - evaluate.sh514 B
    - translate.sh507 B
  - end_to_end.sh5 kB
  - experiments
    - unkown_tokens.sh1 kB
- data
  - readme.md1 kB
  - raw
    - parice32 B
    - en_mono39 B
    - rmh37 B
    - dictionary
      - wiki.tsv1 MB
      - manual.tsv27 B
      - apertium-isl-eng.isl-eng.dix2 MB
  - out23 B
  - formatted30 B
- moses
  - docker-build.sh106 B
  - README.md2 kB
  - Dockerfile1 kB
- docker-compose.yml617 B
- LICENSE1 kB
- notebooks
  - ParIce - 2. filter.ipynb174 kB
  - Moses xmlrpc.ipynb1 kB
  - README.md880 B
  - Moses hand-calculation.ipynb1 kB
  - google_translate.ipynb9 kB
  - data_exploration.ipynb383 kB
  - explore-results.ipynb170 kB
  - ParIce - 1. format.ipynb42 kB