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Part 1: Document Description
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Citation |
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Title: |
NMTVis - Trained Models for our Visual Analytics System |
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Identification Number: |
doi:10.18419/darus-1850 |
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Distributor: |
DaRUS |
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Date of Distribution: |
2021-05-26 |
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Version: |
1 |
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Bibliographic Citation: |
Munz, Tanja; Väth, Dirk; Kuznecov, Paul; Vu, Ngoc Thang; Weiskopf, Daniel, 2021, "NMTVis - Trained Models for our Visual Analytics System", https://doi.org/10.18419/darus-1850, DaRUS, V1 |
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Citation |
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Title: |
NMTVis - Trained Models for our Visual Analytics System |
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Identification Number: |
doi:10.18419/darus-1850 |
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Authoring Entity: |
Munz, Tanja (University of Stuttgart) |
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Väth, Dirk (University of Stuttgart) |
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Kuznecov, Paul (University of Stuttgart) |
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Vu, Ngoc Thang (University of Stuttgart) |
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Weiskopf, Daniel (University of Stuttgart) |
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Grant Number: |
EXC-2075 - 390740016 |
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Distributor: |
DaRUS |
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Access Authority: |
Munz, Tanja |
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Depositor: |
Munz, Tanja |
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Date of Deposit: |
2021-05-11 |
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Holdings Information: |
https://doi.org/10.18419/darus-1850 |
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Study Scope |
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Keywords: |
Computer and Information Science, Neural Machine Translation, Machine Learning, Transformer, Long Short-Term Memory |
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Abstract: |
Trained models and vocabulary files for the use in our visual analytics system NMTVis. There are models for German to English and vice versa available for an LSTM-based and the Transformer architecture. |
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Notes: |
You may find the source code of our visual analytic system <a href="https://doi.org/10.18419/darus-1849">here</a> or the most recent version of the system on GitHub: <a href="https://github.com/MunzT/NMTVis">https://github.com/MunzT/NMTVis</a> <br> There are also instructions available where to place the individual files to be used by the system. |
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Methodology and Processing |
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Sources Statement |
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Data Sources: |
We trained our models on the German-to-English data set from the 2016 ACL Conference on Machine Translation (WMT'16) shared news translation task: <br> O. Bojar, R. Chatterjee, C. Federmann, Y. Graham, B. Haddow, M. Huck, A. Jimeno Yepes, P. Koehn, V. Logacheva, C. Monz, M. Ne-gri, A. Neveol, M. Neves, M. Popel, M. Post, R. Rubino, C. Scarton, L. Specia, M. Turchi, K. Verspoor, and M. Zampieri. Findings of the 2016 Conference on Machine Translation (WMT16). In Proceedings of the First Conference on Machine Translation, Volume 2: Shared Task Papers, pp. 131-198. Association for Computational Linguistics, 8 2016. |
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Data Access |
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Other Study Description Materials |
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Related Publications |
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Citation |
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Title: |
T. Munz, D. Väth, P. Kuznecov, N. T. Vu, and D. Weiskopf. "Visual-Interactive Neural Machine Translation". Graphics Interface. 2021. |
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Bibliographic Citation: |
T. Munz, D. Väth, P. Kuznecov, N. T. Vu, and D. Weiskopf. "Visual-Interactive Neural Machine Translation". Graphics Interface. 2021. |
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Label: |
seq2seq_de_en_epoch_20.pt |
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Text: |
LSTM model German to English |
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Notes: |
application/octet-stream |
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Label: |
seq2seq_en_de_epoch_20.pt |
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Text: |
LSTM model English to German |
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Notes: |
application/octet-stream |
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Label: |
trafo_de_en_ensemble.pt |
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Text: |
Transformer model German to English |
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Notes: |
application/octet-stream |
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Label: |
trafo_en_de_ensemble.pt |
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Text: |
Transformer model English to German |
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Notes: |
application/octet-stream |
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Label: |
vocab_de-en.pt |
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Text: |
Vocabulary file for translation from German to English |
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Notes: |
application/octet-stream |
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Label: |
vocab_en-de.pt |
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Text: |
Vocabulary file for translation from English to German |
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Notes: |
application/octet-stream |