Natural Language Processing

Being the first in Cantonese Robot/Chatbot, our engine and language model were developed by our research team, which include experts having Ph.D and professors in the field. The research is optimized for Cantonese and Chinese, though our system performs excellent also in English. The technology can be applied to a wide area of industries and applications. 

Research Paper

An introduction to Deep Learning in Natural Language Processing: Models, techniques, and tools

Ivano Lauriola, Alberto Lavelli, Fabio, Aiolli, May 2021
  ​​​​  Natural Language Processing (NLP) is a branch of artificial intelligence that involves the design and implementation of systems and algorithms able to interact through human language. Thanks to the recent advances of deep learning, NLP applications have received an unprecedented boost in performance. In this paper, we present a survey of the application of deep learning techniques in NLP, with a focus on the various tasks where deep learning is demonstrating stronger impact. Additionally, we explore, describe, and revise the main resources in NLP research, including software, hardware, and popular corpora. Finally, we emphasize the main limits of deep learning in NLP and current research directions.

An approach to text analytics and text mining in multilingual natural language processing

Arjumand Masood Khan, Khan Rahat Afreen, Oct. 2020
Natural language processing (or Computational linguistic is becoming the state of art in today’s world. It has evolved many years ago in past 1960’s. The task of NLP is understanding the natural human utterances in terms of speech or text, taking as input and giving proper response or output. Text mining also called as Text Analytics uses Natural language processing to transform unstructured corpus into standard and normalised documents or databases for further analysis by applying Artificial intelligence techniques and Machine learning algorithms.