March 4, 2021 INMT, NLP

Issue #120 – Interactive Neural Machine Translation

04 Mar21 Issue #120 – Interactive Neural Machine Translation Author: Dr. Patrik Lambert, Senior Machine Translation Scientist @ Iconic Introduction Despite the great quality improvements achieved recently by machine translation (MT) technology thanks to neural systems, it is still not error-free. To achieve a controlled quality, the output of a machine translation engine must be corrected by a human agent in a post-editing phase. Today we take a look at a paper from Peris et al. (2017) (publisher version, non-final […]

March 3, 2021 Python

Python: Check if Variable is a List

Introduction Python is a dynamically typed language, and the variable data types are inferred without explicit intervention by the developer. If we had code that needed a list but lacked type hints, which are optional, how can we avoid errors if the variable used is not a list? In this tutorial, we’ll take a look at how to check if a variable is a list in Python, using the type() and isinstance() functions, as well as the is operator: Developers […]

March 3, 2021 Python

Python: Check if Variable is a String

Introduction Python is a dynamically typed language, and the variable data types are inferred without explicit intervention by the developer. If we had code that requires a string to work correctly but lacked type hints, which are optional, how can we avoid errors if the variable used is not a string? In this tutorial, we’ll take a look at how to check if a variable is a string in Python, using the type() and isinstance() functions, as well as the […]

March 3, 2021 Python

Seaborn Line Plot – Tutorial and Examples

Introduction Seaborn is one of the most widely used data visualization libraries in Python, as an extension to Matplotlib. It offers a simple, intuitive, yet highly customizable API for data visualization. In this tutorial, we’ll take a look at how to plot a Line Plot in Seaborn – one of the most basic types of plots. Line Plots display numerical values on one axis, and categorical values on the other. They can typically be used in much the same way […]

March 3, 2021 Python

New Features: Article Bookmarks, Completion Status, and Search Improvements

With close to 2,000 Python tutorials and video lessons in the Real Python content library, it was getting harder and harder for learners to find the right resources at the right time. To fix that, we’ve just launched out several new features to help you easily find and review the learning resources you’re looking for. Here’s what’s new: Article Completion Status and Bookmarks Just like with courses and course lessons, you can now bookmark written tutorials and mark them as […]

March 2, 2021 Python

Navigating Namespaces and Scope in Python

In a program of any complexity, you’ll create hundreds or thousands of names, each pointing to a specific object. How does Python keep track of all these names so that they don’t interfere with one another? This course covers Python namespaces, the structures used to organize the symbolic names assigned to objects in a Python program. In this course, you’ll learn: How Python organizes symbolic names and objects in namespaces When Python creates a new namespace How namespaces are implemented […]

March 2, 2021 Advanced, NLP, Python, Technique, Text, Unstructured Data, Unsupervised Leave a comment

Beginners Guide to Regular Expressions in Natural Language Processing

Introduction Regular Expressions is very popular among programmers and can be applied in many programming languages like Java, JS, php, C++, etc. Regular Expressions are useful for numerous practical day-to-day tasks that a data scientist encounters. It is one of the key concepts of Natural Language Processing that every NLP expert should be proficient in. Regular Expressions are used in various tasks such as data pre-processing, rule-based information mining systems, pattern matching, text feature engineering, web scraping, data extraction, etc. […]

March 2, 2021 Artificial intelligence Leave a comment

The science behind semantic search: How AI from Bing is powering Azure Cognitive Search

Azure Cognitive Search is a cloud search service that gives developers APIs and tools to build rich search experiences over private, heterogeneous content in web, mobile, and enterprise applications. It has multiple components, including an API for indexing and querying, seamless integration through Azure data ingestion, deep integration with Azure Cognitive Services, and persistent storage of user-owned indexed content. At the heart of Azure Cognitive Search is its full text, keyword-based search engine built on the BM25 algorithm—an industry standard in information retrieval. We’ve found that what customers desire next is higher-quality results out of the box with less effort, enabling […]

March 2, 2021 Machine Learning

How to Prepare Movie Review Data for Sentiment Analysis (Text Classification)

Last Updated on December 21, 2020 Text data preparation is different for each problem. Preparation starts with simple steps, like loading data, but quickly gets difficult with cleaning tasks that are very specific to the data you are working with. You need help as to where to begin and what order to work through the steps from raw data to data ready for modeling. In this tutorial, you will discover how to prepare movie review text data for sentiment analysis, […]

March 2, 2021 Machine Learning

Differential Evolution Global Optimization With Python

Differential Evolution is a global optimization algorithm. It is a type of evolutionary algorithm and is related to other evolutionary algorithms such as the genetic algorithm. Unlike the genetic algorithm, it was specifically designed to operate upon vectors of real-valued numbers instead of bitstrings. Also unlike the genetic algorithm it uses vector operations like vector subtraction and addition to navigate the search space instead of genetics-inspired transforms. In this tutorial, you will discover the Differential Evolution global optimization algorithm. After […]

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