Advancing Cross-Lingual Capabilities for Humanoid Robots: Leveraging Chinese NLP through Pictophonetic Advantages

Li Weigang, Rafael Marconi Ramos, Pedro Carvalho Brom

Keywords: Chinese NLP, Cross-Lingual, humanoid robots, multimodal intelligence, SIFT

TL;DR: This paper explores how leveraging the pictophonetic properties of Chinese characters can enhance humanoid robots' cross-lingual language processing capabilities.

Abstract: Humanoid robots, as a critical trajectory in the development of artificial intelligence, are poised to play a key role in the era of cross-lingual and multimodal intelligence. This paper explores the unique capabilities of humanoid robots in multilingual processing by harnessing the pictophonetic advantages inherent in the Chinese language. Unlike phonetic languages such as English, Chinese characters encapsulate ideographic, phonetic, and semantic components within a single symbol, providing a rich, multidimensional data source. By analyzing the successful localization of the periodic table in Chinese, this study illustrates how the unique naming conventions used by Chinese chemists bridge scientific and linguistic understanding. It advocates adopting the systematic approach seen in Chinese chemical nomenclature to further advance research in Chinese natural language processing (CNLP). To this end, the Six-Writings Pictophonetic Coding (SWPC) technology is introduced, which constructs efficient character and word matrices to enable humanoid robots to process Chinese language inputs effectively. The integration of SWPC with techniques such as Scale-Invariant Feature Transform (SIFT) and machine learning facilitates multimodal recognition of characters and words, allowing robots to prioritize Chinese information and seamlessly process it in conjunction with other languages. This approach has the potential to significantly enhance natural language understanding and generation in complex Chinese contexts. By drawing insights from Chinese chemical nomenclature, the paper lays a foundation for intelligent cross-lingual interactions, providing a new direction for CNLP research and paving the way for humanoid robots to achieve deeper integration into future intelligent societies.

Primary Area: applications to computer vision, audio, language, and other modalities

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Submission Number: 7799