BosphorusSign: A Turkish Sign Language Recognition Corpus in Health and Finance Domains

Necati Cihan Camgöz, Ahmet Alp Kındıroğlu, Serpil Karabüklü, Meltem Kelepir, Ayşe Sumru Özsoy, Lale Akarun


Abstract
There are as many sign languages as there are deaf communities in the world. Linguists have been collecting corpora of different sign languages and annotating them extensively in order to study and understand their properties. On the other hand, the field of computer vision has approached the sign language recognition problem as a grand challenge and research efforts have intensified in the last 20 years. However, corpora collected for studying linguistic properties are often not suitable for sign language recognition as the statistical methods used in the field require large amounts of data. Recently, with the availability of inexpensive depth cameras, groups from the computer vision community have started collecting corpora with large number of repetitions for sign language recognition research. In this paper, we present the BosphorusSign Turkish Sign Language corpus, which consists of 855 sign and phrase samples from the health, finance and everyday life domains. The corpus is collected using the state-of-the-art Microsoft Kinect v2 depth sensor, and will be the first in this sign language research field. Furthermore, there will be annotations rendered by linguists so that the corpus will appeal both to the linguistic and sign language recognition research communities.
Anthology ID:
L16-1220
Volume:
Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16)
Month:
May
Year:
2016
Address:
Portorož, Slovenia
Venue:
LREC
SIG:
Publisher:
European Language Resources Association (ELRA)
Note:
Pages:
1383–1388
Language:
URL:
https://aclanthology.org/L16-1220
DOI:
Bibkey:
Cite (ACL):
Necati Cihan Camgöz, Ahmet Alp Kındıroğlu, Serpil Karabüklü, Meltem Kelepir, Ayşe Sumru Özsoy, and Lale Akarun. 2016. BosphorusSign: A Turkish Sign Language Recognition Corpus in Health and Finance Domains. In Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16), pages 1383–1388, Portorož, Slovenia. European Language Resources Association (ELRA).
Cite (Informal):
BosphorusSign: A Turkish Sign Language Recognition Corpus in Health and Finance Domains (Camgöz et al., LREC 2016)
Copy Citation:
PDF:
https://preview.aclanthology.org/ingestion-script-update/L16-1220.pdf