Recognizing Multi-Intent Commands of the Virtual Assistant with Low-Resource Languages

• Published in: International journal of advanced computer science & applications 2024-01, Vol.15 (11)
• Main Authors: Nguyen, Van-Vinh, Nguyen-Tien, Ha, Nguyen-Duc, Anh-Quan, Vu, Trung-Kien, Pham-Chi, Cong, Pham, Minh-Hieu
• Format: Article
• Language: English
• Subjects: Artificial intelligence; Automatic control; Automation; Cellular telephones; Commands; Computer science; Datasets; Design; Designers; Engineering drawings; Ethics; Grammar; Informatics; Language; Large language models; Natural language; Query languages; Smart houses; Supervisory control and data acquisition; Task complexity; User experience; Voice recognition
• ISSN: 2158-107X; 2156-5570
• DOI: 10.14569/IJACSA.2024.01511125

Virtual Assistants (VAs) are widely used in many fields. Recently, VAs have been effectively applied in technical drawing tasks, such as in Photoshop and Microsoft Word. Understanding multi-intent commands in VAs poses a significant challenge, especially when the language in query is low-resource, like Vietnamese (no training dataset available for technical drawing domain), which features complex grammar and a limited domain of usage. In this work, we proposing a three-step process to develop a voice assistant capable of understanding multi-intent commands in VAs for low-resource languages, particularly in responding to the SCADA Framework (SF) for performing drawing tasks: (1) for the training dataset, we developed a semi-automatic method for building a labeled command corpus; applying this method to Vietnamese, we built a corpus that includes 3,240 labeled commands; (2) for the multi-intent command processing phase, we introduced a method for splitting multi-intent commands into single-intent commands to enable VAs to perform them more efficiently. By experimenting with the proposed method in Vietnamese, we developed a VA that supports drawing on SF with an accuracy of over 96%. With the results of this study, we can completely apply them to SCADA system products to support the automatic control of techinical drawing operations in them as VAs.