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Ayiguli Halike, Aishan Wumaier and Tuergen Yibulayin
Although low-resource relation extraction is vital in knowledge construction and characterization, more research is needed on the generalization of unknown relation types. To fill the gap in the study of low-resource (Uyghur) relation extraction methods,...
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Sardar Parhat, Mutallip Sattar, Askar Hamdulla and Abdurahman Kadir
In this study, based on a morpheme segmentation framework, we researched a text keyword extraction method for Uyghur, Kazakh and Kirghiz languages, which have similar grammatical and lexical structures. In these languages, affixes and a stem are joined t...
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Saida Mussakhojayeva, Kaisar Dauletbek, Rustem Yeshpanov and Huseyin Atakan Varol
The primary aim of this study was to contribute to the development of multilingual automatic speech recognition for lower-resourced Turkic languages. Ten languages?Azerbaijani, Bashkir, Chuvash, Kazakh, Kyrgyz, Sakha, Tatar, Turkish, Uyghur, and Uzbek?we...
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Mayire Ibrayim, Ahmatjan Mattohti and Askar Hamdulla
Uyghur text detection and recognition in images with simple backgrounds is still a challenging task for Uyghur image content analysis. In this paper, we propose a new effective Uyghur text detection method based on channel-enhanced MSERs and the CNN clas...
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Aliya Rexit, Mahpirat Muhammat, Xuebin Xu, Wenxiong Kang, Alimjan Aysa and Kurban Ubul
Handwritten signatures have traditionally been used as a common form of recognition and authentication in tasks such as financial transactions and document authentication. However, there are few studies on minority languages such as Uyghur and Kazakh use...
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Yajuan Wang, Xiao Li, Yating Yang, Azmat Anwar and Rui Dong
Both the statistical machine translation (SMT) model and neural machine translation (NMT) model are the representative models in Uyghur?Chinese machine translation tasks with their own merits. Thus, it will be a promising direction to combine the advanta...
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Wenbo Zhang, Xiao Li, Yating Yang and Rui Dong
The pre-training fine-tuning mode has been shown to be effective for low resource neural machine translation. In this mode, pre-training models trained on monolingual data are used to initiate translation models to transfer knowledge from monolingual dat...
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Wayit Abliz, Hao Wu, Maihemuti Maimaiti, Jiamila Wushouer, Kahaerjiang Abiderexiti, Tuergen Yibulayin and Aishan Wumaier
To improve utilization of text storage resources and efficiency of data transmission, we proposed two syllable-based Uyghur text compression coding schemes. First, according to the statistics of syllable coverage of the corpus text, we constructed a 12-b...
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Yirong Pan, Xiao Li, Yating Yang and Rui Dong
Benefitting from the rapid development of artificial intelligence (AI) and deep learning, the machine translation task based on neural networks has achieved impressive performance in many high-resource language pairs. However, the neural machine translat...
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Alimu Saimaiti, Lulu Wang and Tuergen Yibulayin
Uyghur is a morphologically rich and typical agglutinating language, and morphological segmentation affects the performance of Uyghur named-entity recognition (NER). Common Uyghur NER systems use the word sequence as input and rely heavily on feature eng...
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