A Practical Introduction to Statistical Machine Translation
- 2.8
-
![]()
![]()
![]()
Brief Introduction
Learn the basics of Statistical Machine Translation with a Practical guide to building your own MT system with MosesDescription
Machine Translation is a well-known sub field of Computational Linguistics that investigates the use of software to automatically translate text or speech from one language to another. It becomes a challenge to handle language specific features when it comes to machine translation such as differences in linguistic grammar, translation of idioms, and the isolation of anomalies particular to a language. Statistical and neural methods are being used extensively today to solve this problem and to get better translations. In this course we would focus on building a fast and high performance statistical machine translation system learning the various methodologies, tools and techniques widely used to accomplish it. In this course you will get hands-on in building your own statistical machine translation system using the Open Source Moses framework.
Requirements
- Requirements
- Knowing basic Linux commands
- Understanding of basic statistical methods
- Bash Scripting
- Basic Java Programming
Saatviga Sudhahar
2.8 Raiting
Financial Analysis and Financial Modeling using MS Excel
- 4.4
-
![]()
![]()
![]()
![]()
![]()
Perform financial analysis & financial modeling using Microsoft excel. For people who want to become a Financial Analyst After completing this course you will be able to:...
Marketing Analytics Using R and Excel
- 4.5
-
![]()
![]()
![]()
![]()
![]()
Learn how to ntroduction to Marketing ,What is Marketing Analytics and Marketing Metrics We are using sophisticated statistical tools like R and excel to analyze data....
How Google does Machine Learning
- 4.6
-
![]()
![]()
![]()
![]()
![]()
What is machine learning, and what kinds of problems can it solve? Google thinks about machine learning slightly differently -- of being about logic, rather than just data....
Analyze Datasets and Train ML Models using AutoML
- 4.6
-
![]()
![]()
![]()
![]()
![]()
In the first course of the Practical Data Science Specialization, you will learn foundational concepts for exploratory data analysis (EDA), automated machine learning (AutoML), and text classification algorithms....
