1 code implementation • SIGUL (LREC) 2022 • Roshna Abdulrahman, Hossein Hassani
The developed spell checker shows 88. 54% accuracy on the texts in the related context and it has an F1 score of 43. 33%, and the correct suggestion has an 85% chance of being in the top three positions of the corrections.
no code implementations • 9 Apr 2024 • Blnd Yaseen, Hossein Hassani
Having an extensive dataset is crucial to develop OCR systems with reasonable accuracy, as currently, no public datasets are available for historical Kurdish documents; this posed a significant challenge in our work.
Optical Character Recognition Optical Character Recognition (OCR)
no code implementations • 29 Mar 2024 • Sana Isam, Hossein Hassani
Subsequently, we adapted three deep learning models: ANN, CNN, and RNN-LSTM.
no code implementations • 11 May 2023 • Zina Kamal, Hossein Hassani
We work on automatic translation between spoken Kurdish and KuSL.
no code implementations • 15 Mar 2023 • Hossein Hassani, Ehsan Hallaji, Roozbeh Razavi-Far, Mehrdad Saif
The performance of fault diagnosis systems is highly affected by data quality in cyber-physical power systems.
1 code implementation • 12 Jan 2023 • Sazan Salar, Hossein Hassani
Named Entity Recognition (NER) is one of the essential applications of Natural Language Processing (NLP).
no code implementations • 30 Jan 2022 • Hossein Hassani
The dataset can help in developing POS-tagged lexicons for other Kurdish dialects and automated Kurdish corpora tagging.
no code implementations • 22 Nov 2021 • Aza Zuhair, Hossein Hassani
Musicologists use various labels to classify similar music styles under a shared title.
1 code implementation • 27 Oct 2021 • Hossein Hassani
We base our computation on phonetic presentations of these dialects (languages), and we calculate various linguistic distances among the pairs.
no code implementations • 24 Oct 2021 • Hossein Hassani
Kurdish is written in different scripts.
1 code implementation • 4 Oct 2020 • Sina Ahmadi, Hossein Hassani, Daban Q. Jaff
We present a corpus containing 12, 327 translation pairs in the two major dialects of Kurdish, Sorani and Kurmanji.
no code implementations • 21 May 2020 • Sina Ahmadi, Hossein Hassani
Morphological analysis is the study of the formation and structure of words.
1 code implementation • LREC 2020 • Sina Ahmadi, Hossein Hassani, Kamaladdin Abedi
We believe that this corpus contributes to Kurdish language processing in several ways, such as compensation for the lack of a long history of written text by incorporating oral literature, presenting an unexplored realm in Kurdish language processing, and assisting the initiation of Kurdish computational folkloristics.
1 code implementation • LREC 2020 • Zina Kamal, Hossein Hassani
We use this dataset to implement a sign-supported Kurdish tool to check the accuracy of the Sign lexicon.
1 code implementation • 9 Apr 2020 • Roshna Omer Abdulrahman, Hossein Hassani
The Kurdish language is a multi-dialect, under-resourced language which is written in different scripts.
1 code implementation • 29 Nov 2019 • Akam Qader, Hossein Hassani
We present an experimental dataset, Basic Dataset for Sorani Kurdish Automatic Speech Recognition (BD-4SK-ASR), which we used in the first attempt in developing an automatic speech recognition for Sorani Kurdish.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +1
1 code implementation • WS 2019 • Roshna Omer Abdulrahman, Hossein Hassani, Sina Ahmadi
Kurdish is a less-resourced language consisting of different dialects written in various scripts.
no code implementations • WS 2017 • Hossein Hassani
The experiments showed that the machine translated texts are comprehensible to those who do not speak the dialect.