UFAL Speech Corpus of North Levantine Arabic 1.0 - Part 3

Qualified relations

Zemánek, Petr

;

Pospíšil, Adam

;

Sellat, Hashem

;

Pecina, Pavel

Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL)  (Publisher)

Resource type

Text

Subjects

speech corpus

speech recognition

speech-to-text translation

machine translation

multilingual

Arabic

Arabic Corpus

north levantine

Descriptions

EN

The corpus contains recordings by the native speakers of the North Levantine Arabic (apc) acquired during 2020, 2021, and 2023 in Prague, Paris, Kabardia, and St. Petersburg. Altogether, there were 13 speakers (9 male and 4 female, aged 1x 15-20, 7x 20-30, 4x 30-40, and 1x 40-50). The recordings contain both monologues and dialogues on the topics of everyday life (health, education, family life, sports, culture) as well as information on both host countries (living abroad) and country of origin (Syria traditions, education system, etc.). Both types are spontaneous, the participants were given only the general subject and talked on the topic or discussed it freely. The transcription and translation team consisted of students of Arabic at Charles University, with an additional quality check provided by the native speakers of the dialect. The textual data is split between the (parallel) transcriptions (.apc) and translations (.eng), with one segment per line. The additional .yaml file provides mapping to the corresponding audio file (with the duration and offset in the "%S.%03d" format, i.e., seconds and milliseconds) and a unique speaker ID. The audio data is shared in the 48kHz .wav format, with dialogues and monologues in separate folders. All of the recordings are mono, with a single channel. For dialogues, there is a separate file for each speaker, e.g., "16072022_Family-01.wav" and "16072022_Family-02.wav". The data provided in this repository corresponds to the test split of the dialectal Arabic to English shared task hosted at the 22nd edition of the International Conference on Spoken Language Translation, i.e., IWSLT 2025.

Additional details

Primary language	North levantine arabic
Related resources	This dataset references

Files

Name	Size
test2025.eng MD5: e18342a647911dd72c039b765ba2c3b4	45.8 kB
test2025.apc MD5: 29eba14471926d2018bc70e27c155d5f	57.7 kB
test2025_wav.zip MD5: d51567cd21ee79307d2b2e9d46e821d9	533.7 MB
test2025.yaml MD5: 9c7cb2c370c7643a77aefcfa9f795fba	112.9 kB