• Natural Language

Convert Your Structured Data With NLP.

Supervised Learning

This method is mostly manual classification,which is easiest for a computer & hardest for humans.

Semi-supervised Learning

The small amount of data are labeled. Computers only need to find features through labeled data accordingly.

Un-supervised Learning

Un-supervised is the simplest for humans, but it is hardest for the computer.

Reinforcement Learning

Using this, there is no labeled materials, but tell it which step is correct & which step is wrong.

Data Resource

  • Data Storage
  • Real Time Ingension
  • Analytical Report
  • Data Prevention
  • Language Outline
  • Translate Language

Data Report

Develop A Powerfull NLP Application

Machine Learning

With ML, a computer processes information and identifies patterns or trends. The more data it ingests and analyzes, the better the results it provides.

Question Answering

Question answering (QA) is a computer science discipline within the fields of information retrieval and natural language processing (NLP), which is concerned with building systems that automatically answer questions posed by humans in a natural language.

Information Extraction

Information extraction is the task of automatically extracting structured information from unstructured and/or semi-structured machine-readable documents and other electronically represented sources.

Machine Translation

Machine Translation (MT) is the task of automatically converting one natural language into another, preserving the meaning of the input text, and producing fluent text in the output language.

Semantic Search

Semantic search is a data searching technique in a which a search query aims to not only find keywords, but to determine the intent and contextual meaning of the the words a person is using for search.

Speech Recognition

Speech recognition is a technology that enables a machine or program to identify and understand words or phrases from spoken language and convert them into machine readable format.

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