Data · dataset · 2024
TRAD Arabic-French Parallel Text Newswire
Listed in UC Berkeley Library Dataverse
TRAD Arabic-French Parallel Text -- Newswire was developed by ELDA as part of the PEA-TRAD project.
Description
It contains French translations of a subset of approximately 20,000 Arabic words from NIST 2008 Open Machine Translation (OpenMT) Evaluation (LDC2010T21). The PEA-TRAD project (Translation as a Support for Document Analysis) was supported by the French Ministry of Defense (DGA).
Its purpose was to develop speech-to-speech translation technology for multiple languages (e.g., Arabic, Chinese, Pashto) from a variety of domains. ELDA developed several corpora for this effort. The Linguistic Data Consortium (LDC) has also released the following TRAD corpora: TRAD Chinese-French Parallel Text -- Blog (LDC2018T02) TRAD Arabic-French Parallel Text -- Newsgroup (LDC2018T13) TRAD Chinese-French Parallel Text -- Broadcast News (LDC2018T17)
Links
Where it is published
- Dataverse dataset page datasets.lib.berkeley.edu/dataset.xhtml?persistentId=doi%3A10.60503%2FD3%2FTXVRZV ↗
landing page · from datasets lib berkeley edu
- DOI doi.org/10.60503/d3/txvrzv ↗
DOI / persistent id · from datasets lib berkeley edu
Catalogue records · 1
- Dataverse API datasets.lib.berkeley.edu/api/datasets/:persistentId/?persistentId=doi%3A10.60503%2FD3%2… ↗
metadata API · from datasets lib berkeley edu
Topics
- Stated by source
- Social Sciences
- From keywords
- Social Science
- Inferred from text
- Text 75%
Provenance · 1 source records, 9 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| UC Berkeley Library Dataverse | doi:10.60503/D3/TXVRZV | 10 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| concepts[field].dataverse_subject:social-sciences | source · datasets lib berkeley edu | connector:datasets_lib_berkeley_edu@1.0.0 | /subjects |
| concepts[field].local:field:social-science | mapping · datasets lib berkeley edu | connector:datasets_lib_berkeley_edu@1.0.0 | /subjects |
| concepts[modality].local:modality:text | enrichment · datasets lib berkeley edu | keyword-concept-rules@1.0.0 | title+description (75%) |
| created_date | source · datasets lib berkeley edu | connector:datasets_lib_berkeley_edu@1.0.0 | |
| description | source · datasets lib berkeley edu | connector:datasets_lib_berkeley_edu@1.0.0 | /description |
| publication_date | source · datasets lib berkeley edu | connector:datasets_lib_berkeley_edu@1.0.0 | |
| title | source · datasets lib berkeley edu | connector:datasets_lib_berkeley_edu@1.0.0 | /name |
| updated_date | source · datasets lib berkeley edu | connector:datasets_lib_berkeley_edu@1.0.0 | |
| version_label | source · datasets lib berkeley edu | connector:datasets_lib_berkeley_edu@1.0.0 |