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--- |
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annotations_creators: |
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- machine-generated |
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- expert-generated |
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language_creators: |
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- found |
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language: |
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- en |
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- bg |
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- cs |
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- da |
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- de |
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- el |
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- es |
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- et |
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- fi |
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- fr |
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- ga |
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- hr |
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- hu |
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- it |
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- lt |
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- lv |
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- mt |
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- nl |
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- pl |
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- pt |
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- ro |
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- sk |
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- sl |
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- sv |
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multilinguality: |
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- multilingual |
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pretty_name: ELRC-Medical-V2 |
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size_categories: |
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- 100K<n<1M |
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source_datasets: |
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- extended |
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task_categories: |
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- translation |
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task_ids: |
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- translation |
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--- |
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# ELRC-Medical-V2 : European parallel corpus for healthcare machine translation |
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## Table of Contents |
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- [Dataset Card for [Needs More Information]](#dataset-card-for-needs-more-information) |
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- [Table of Contents](#table-of-contents) |
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- [Dataset Description](#dataset-description) |
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- [Dataset Summary](#dataset-summary) |
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- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) |
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- [Languages](#languages) |
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- [Dataset Structure](#dataset-structure) |
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- [Data Instances](#data-instances) |
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- [Data Fields](#data-fields) |
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- [Data Splits](#data-splits) |
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- [Dataset Creation](#dataset-creation) |
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- [Curation Rationale](#curation-rationale) |
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- [Source Data](#source-data) |
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- [Initial Data Collection and Normalization](#initial-data-collection-and-normalization) |
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- [Who are the source language producers?](#who-are-the-source-language-producers) |
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- [Personal and Sensitive Information](#personal-and-sensitive-information) |
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- [Considerations for Using the Data](#considerations-for-using-the-data) |
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- [Other Known Limitations](#other-known-limitations) |
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- [Additional Information](#additional-information) |
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- [Dataset Curators](#dataset-curators) |
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- [Licensing Information](#licensing-information) |
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- [Citation Information](#citation-information) |
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## Dataset Description |
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- **Homepage:** https://live.european-language-grid.eu/catalogue/project/2209 |
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- **Repository:** https://github.com/qanastek/ELRC-Medical-V2/ |
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- **Paper:** [Needs More Information] |
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- **Leaderboard:** [Needs More Information] |
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- **Point of Contact:** [Yanis Labrak](mailto:yanis.labrak@univ-avignon.fr) |
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### Dataset Summary |
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`ELRC-Medical-V2` is a parallel corpus for neural machine translation funded by the [European Commission](http://www.lr-coordination.eu/) and coordinated by the [German Research Center for Artificial Intelligence](https://www.dfki.de/web). |
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### Supported Tasks and Leaderboards |
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`translation`: The dataset can be used to train a model for translation. |
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### Languages |
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In our case, the corpora consists of a pair of source and target sentences for 23 differents languages from the European Union (EU) with as source language in each cases english (EN). |
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**List of languages :** `Bulgarian (bg)`,`Czech (cs)`,`Danish (da)`,`German (de)`,`Greek (el)`,`Spanish (es)`,`Estonian (et)`,`Finnish (fi)`,`French (fr)`,`Irish (ga)`,`Croatian (hr)`,`Hungarian (hu)`,`Italian (it)`,`Lithuanian (lt)`,`Latvian (lv)`,`Maltese (mt)`,`Dutch (nl)`,`Polish (pl)`,`Portuguese (pt)`,`Romanian (ro)`,`Slovak (sk)`,`Slovenian (sl)`,`Swedish (sv)`. |
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## Load the dataset with HuggingFace |
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```python |
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from datasets import load_dataset |
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NAME = "qanastek/ELRC-Medical-V2" |
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dataset = load_dataset(NAME, use_auth_token=True) |
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print(dataset) |
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dataset_train = load_dataset(NAME, "en-es", split='train[:90%]') |
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dataset_test = load_dataset(NAME, "en-es", split='train[10%:]') |
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print(dataset_train) |
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print(dataset_train[0]) |
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print(dataset_test) |
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``` |
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## Dataset Structure |
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### Data Instances |
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```plain |
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id,lang,source_text,target_text |
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1,en-bg,"TOC \o ""1-3"" \h \z \u Introduction 3","TOC \o ""1-3"" \h \z \u Въведение 3" |
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2,en-bg,The international humanitarian law and its principles are often not respected.,Международното хуманитарно право и неговите принципи често не се зачитат. |
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3,en-bg,"At policy level, progress was made on several important initiatives.",На равнище политики напредък е постигнат по няколко важни инициативи. |
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``` |
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### Data Fields |
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**id** : The document identifier of type `Integer`. |
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**lang** : The pair of source and target language of type `String`. |
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**source_text** : The source text of type `String`. |
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**target_text** : The target text of type `String`. |
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### Data Splits |
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| Lang | # Docs | Avg. # Source Tokens | Avg. # Target Tokens | |
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|--------|-----------|------------------------|------------------------| |
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| bg | 13 149 | 23 | 24 | |
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| cs | 13 160 | 23 | 21 | |
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| da | 13 242 | 23 | 22 | |
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| de | 13 291 | 23 | 22 | |
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| el | 13 091 | 23 | 26 | |
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| es | 13 195 | 23 | 28 | |
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| et | 13 016 | 23 | 17 | |
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| fi | 12 942 | 23 | 16 | |
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| fr | 13 149 | 23 | 28 | |
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| ga | 412 | 12 | 12 | |
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| hr | 12 836 | 23 | 21 | |
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| hu | 13 025 | 23 | 21 | |
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| it | 13 059 | 23 | 25 | |
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| lt | 12 580 | 23 | 18 | |
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| lv | 13 044 | 23 | 19 | |
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| mt | 3 093 | 16 | 14 | |
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| nl | 13 191 | 23 | 25 | |
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| pl | 12 761 | 23 | 22 | |
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| pt | 13 148 | 23 | 26 | |
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| ro | 13 163 | 23 | 25 | |
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| sk | 12 926 | 23 | 20 | |
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| sl | 13 208 | 23 | 21 | |
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| sv | 13 099 | 23 | 21 | |
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||||| |
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| Total | 277 780 | 22.21 | 21.47 | |
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## Dataset Creation |
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### Curation Rationale |
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For details, check the corresponding [pages](https://elrc-share.eu/repository/search/?q=mfsp%3A87ef9e5e8ac411ea913100155d026706e19a1a9f908b463c944490c36ba2f454&page=3). |
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### Source Data |
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#### Initial Data Collection and Normalization |
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The acquisition of bilingual data (from multilingual websites), normalization, cleaning, deduplication and identification of parallel documents have been done by [ILSP-FC tool](http://nlp.ilsp.gr/redmine/projects/ilsp-fc/wiki/Introduction). [Maligna aligner](https://github.com/loomchild/maligna) was used for alignment of segments. Merging/filtering of segment pairs has also been applied. |
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#### Who are the source language producers? |
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Every data of this corpora as been uploaded by [Vassilis Papavassiliou](mailto:vpapa@ilsp.gr) on [ELRC-Share](https://elrc-share.eu/repository/browse/bilingual-corpus-from-the-publications-office-of-the-eu-on-the-medical-domain-v2-en-fr/6b31b32e8ac411ea913100155d0267061547d9b3ec284584af19a2953baa8937/). |
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### Personal and Sensitive Information |
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The corpora is free of personal or sensitive information. |
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## Considerations for Using the Data |
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### Other Known Limitations |
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The nature of the task introduce a variability in the quality of the target translations. |
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## Additional Information |
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### Dataset Curators |
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__ELRC-Medical-V2__: Labrak Yanis, Dufour Richard |
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__Bilingual corpus from the Publications Office of the EU on the medical domain v.2 (EN-XX) Corpus__: [Vassilis Papavassiliou](mailto:vpapa@ilsp.gr) and [others](https://live.european-language-grid.eu/catalogue/project/2209). |
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### Licensing Information |
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<a rel="license" href="https://elrc-share.eu/static/metashare/licences/CC-BY-4.0.pdf"><img alt="Attribution 4.0 International (CC BY 4.0) License" style="border-width:0" src="https://i.creativecommons.org/l/by/4.0/88x31.png" /></a><br />This work is licensed under a <a rel="license" href="https://elrc-share.eu/static/metashare/licences/CC-BY-4.0.pdf">Attribution 4.0 International (CC BY 4.0) License</a>. |
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### Citation Information |
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Please cite the following paper when using this model. |
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```latex |
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@inproceedings{losch-etal-2018-european, |
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title = European Language Resource Coordination: Collecting Language Resources for Public Sector Multilingual Information Management, |
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author = { |
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L'osch, Andrea and |
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Mapelli, Valérie and |
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Piperidis, Stelios and |
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Vasiljevs, Andrejs and |
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Smal, Lilli and |
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Declerck, Thierry and |
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Schnur, Eileen and |
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Choukri, Khalid and |
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van Genabith, Josef |
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}, |
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booktitle = Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018), |
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month = may, |
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year = 2018, |
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address = Miyazaki, Japan, |
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publisher = European Language Resources Association (ELRA), |
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url = https://aclanthology.org/L18-1213, |
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} |
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``` |
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