IWSLT2022 - Low-resource Speech Translation Track: Tamasheq-French Parallel Corpus

Domain:

natural language processing

Record type:

dataset

Repository for sharing the data in the Tamasheq language, one of the languages for the low-resource speech translation track at IWSLT 2022.

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Tasks

machine translation speech processing speech translation

Languages

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Filtered Pseudo-parallel Corpus Improves Low-resource Neural Machine TranslationConnecting Voices: LoReSpeech as a Low-Resource Speech Parallel CorpusLIA-AvignonUniversity/IWSLT2022-tamasheq-onlyA Low-Resource English–Hassaniya Parallel Corpus with Neural Machine Translation BenchmarksFFSTC: Fongbe to French Speech Translation CorpusOpenWHO: A Document-Level Parallel Corpus for Health Translation in Low-Resource Languages

Filtered Pseudo-parallel Corpus Improves Low-resource Neural Machine Translation

Large-scale parallel corpora are essential for training high-quality machine translation systems; ho

Connecting Voices: LoReSpeech as a Low-Resource Speech Parallel Corpus

Aligned audio corpora are fundamental to NLP technologies such as ASR and speech translation, yet th

LIA-AvignonUniversity/IWSLT2022-tamasheq-only

A Low-Resource English–Hassaniya Parallel Corpus with Neural Machine Translation Benchmarks

FFSTC: Fongbe to French Speech Translation Corpus

In this paper, we introduce the Fongbe to French Speech Translation Corpus (FFSTC) for the first tim

OpenWHO: A Document-Level Parallel Corpus for Health Translation in Low-Resource Languages

In machine translation (MT), health is a high-stakes domain characterised by widespread deployment a