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.

Key Feature

Self developed language model

Trainable/editable NLP

Mixed language handling: Cantonese with English

Ultra fast inference speed

Extensive sentimental analysis

Knowledge base covers common areas as well as domain specific areas

Able to process both short and long sentences

Able to add industry specific special terms/jargons

Unlimited number of intentions for matching

Able to distinguish small differences in meanings between sentences

Application

Natural Language Processing is used in wide areas, from Sentiment Analysis to Text Classification to Machine Translation.

Sentiment Analysis

Text Classification

Chatbots & Virtual Assistants

Machine Translation

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.

Technology