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Tico 19

Domain:

natural language processing

Record type:

dataset
Creator:
SEA
Host:
TICO-19 (Translation Initiative for COVID-19) is sampled from a variety of public sources containing COVID-19 related content, representing different domains (e.g., news, wiki articles, and others). TICO-19 includes 30 documents (3071 sentences, 69.7k words) translated from English into 36 languages: Amharic, Arabic (Modern Standard), Bengali, Chinese (Simplified), Dari, Dinka, Farsi, French (European), Hausa, Hindi, Indonesian, Kanuri, Khmer (Central), Kinyarwanda, Kurdish Kurmanji, Kurdish Sorani, Lingala, Luganda, Malay, Marathi, Myanmar, Nepali, Nigerian Fulfulde, Nuer, Oromo, Pashto, Portuguese (Brazilian), Russian, Somali, Spanish (Latin American), Swahili, Congolese Swahili, Tagalog, Tamil, Tigrinya, Urdu, Zulu.

Visit

huggingface.co

Tasks

machine translation

Languages

AmharicFulfulde, AdamawaFulfulde, BorguFulfulde, Central-Eastern NigerFulfulde, MaasinaFulfulde, NigerianFulfulde, Western NigerGandaHausaKanembu+9

Tags

machine-translation

Similar

TICO-19 CorpusTICO-19: the Translation Initiative for Covid-19Congolese Swahili TICO-19 audio test setCongolese Swahili TICO-19 audio development set

TICO-19 Corpus

Multilingual crisis communication, MT model training, pandemic response content localization Notes

TICO-19: the Translation Initiative for Covid-19

The COVID-19 pandemic is the worst pandemic to strike the world in over a century. Crucial to stemming the tide of the SARS-CoV-2 virus is communicating to vulnerable populations the means by which they can protect themselves. To this end, the collaborators forming

Congolese Swahili TICO-19 audio test set

TICO-19 Congolese Swahili test set recorded by a male and a female speaker. Format: audio files in MP3, transcriptions provided in csv table. Size: 1064 sentences, 2124 audio segments, 10hr 57 min of audio This corpus is made possible thanks to the linguists BWIRA

Congolese Swahili TICO-19 audio development set

TICO-19 Congolese Swahili development set recorded by a male and a female speaker. Format: audio files in MP3, transcriptions and metadata provided in CSV table. Size: 435 sentences, 870 audio segments, 4hr 06 min of audio This corpus is made possible thanks to the