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Publication . Conference object . Preprint . Article . 2020 . Embargo end date: 01 Jan 2020

LSCP: Enhanced Large Scale Colloquial Persian Language Understanding

Khojasteh, H. A.; Ansari, E.; Mahdi Bohlouli;
Open Access
Published: 11 May 2020
Publisher: arXiv
Country: France
Language recognition has been significantly advanced in recent years by means of modern machine learning methods such as deep learning and benchmarks with rich annotations. However, research is still limited in low-resource formal languages. This consists of a significant gap in describing the colloquial language especially for low-resourced ones such as Persian. In order to target this gap for low resource languages, we propose a "Large Scale Colloquial Persian Dataset" (LSCP). LSCP is hierarchically organized in a semantic taxonomy that focuses on multi-task informal Persian language understanding as a comprehensive problem. This encompasses the recognition of multiple semantic aspects in the human-level sentences, which naturally captures from the real-world sentences. We believe that further investigations and processing, as well as the application of novel algorithms and methods, can strengthen enriching computerized understanding and processing of low resource languages. The proposed corpus consists of 120M sentences resulted from 27M tweets annotated with parsing tree, part-of-speech tags, sentiment polarity and translation in five different languages.
Comment: 6 pages, 2 figures, 3 tables, Accepted at the 12th International Conference on Language Resources and Evaluation (LREC 2020)

Computation and Language (cs.CL), Artificial Intelligence (cs.AI), Information Retrieval (cs.IR), Machine Learning (cs.LG), FOS: Computer and information sciences, A.0; E.0; I.2.0; I.2.6; I.2.7; I.7.1; I.7.2, 68T50 (Primary) 68T09, 68T07 (Secondary), Persian Corpus, Large Scale Language Understanding, Colloquial Persian Language, Multilingual, Informal Language, [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI], [INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL], [INFO.INFO-IR]Computer Science [cs]/Information Retrieval [cs.IR], [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG], [INFO.INFO-TT]Computer Science [cs]/Document and Text Processing, [SCCO.LING]Cognitive science/Linguistics, [SCCO.COMP]Cognitive science/Computer science, [INFO]Computer Science [cs], Computer Science - Computation and Language, Computer Science - Artificial Intelligence, Computer Science - Information Retrieval, Computer Science - Machine Learning, A.0, E.0, I.2.0, I.2.6, I.2.7, I.7.1, I.7.2

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