Python

Python Community Interview With Dane Hillard

Today I’m joined by Dane Hillard, lead web application developer at ITHAKA and author of Practices of the Python Pro. Dane is also a Real Python tutorial author. In this interview, we discuss a variety of topics, including code complexity, Python package maintenance, and popcorn. So without further ado, let’s welcome Dane. Ricky: Thanks for joining me for this interview, Dane. I’d like to start in the same manner we do with all our guests: how did you get into programming, […]

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Advanced, NLP, Videos

Parts of Speech Tag and Dependency Grammer

Objective Parts of speech tagging and dependency parsing are widely used techniques in text processing. Understand parts of speech tags and grammars with their respective use cases in Natural language processing Introduction Natural language processing is a branch of machine learning that deals with how machines understand human languages. Text data is a widely available problem domain for NLP tasks. In order to work with text data, it is important to transform the raw text into a form that can […]

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NLP

Elvis’s Blog

Hi, It’s Elvis here! I regularly talk, write, and tweet about data science and machine learning related topics. However, there are other interests that I would love to share through this blog including tips on writing, presenting, researching, coding, learning, etc. Specific interests range from linguistics to education to product design. I work and collaborate on a lot of different projects involving different types of technologies. I would love to share more of that in this new blog. If you […]

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Python

Records and Sets: Selecting the Ideal Data Structure

There are a variety of ways for storing and managing data in your program and the choice of the right data structure has an effect on the readability of your code, ease of writing, and performance. Python has a wide selection of built-in mechanisms that meet most of your data structure needs. This course introduces you to two types of data structures: data records and sets. There are multiple types and classes for both of these data structures and this […]

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Advanced, NLP, Unsupervised, Videos

Tokenization and Text Normalization

Objective Text data is a type of unstructured data used in natural language processing. Understand how to preprocess the text data before feeding it to the machine learning algorithms. Introduction Text data is a form of unstructured data. The most prominent examples of text data available on the internet are social media data like tweets, posts, comments, or the Conversation data such as messages, emails, Chats. Also, it can be article data like news articles, blogs, etc. Note: If you […]

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Python

Build an Asteroids Game With Python and Pygame

Do you want to create your own computer games but like Python too much to abandon it for a career as a game developer? There’s a solution for that! With the Pygame module, you can use your amazing Python skills to create games, from the basic to the very complex. Below, you’ll learn how to use Pygame by making a clone of the Asteroids game! In this tutorial, you’ll learn how to build a complete game, including: Loading images and […]

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python_tutorials
Python

Matplotlib: Draw Vertical Lines on Plot

Introduction Matplotlib is one of the most widely used data visualization libraries in Python. Much of Matplotlib’s popularity comes from its customization options – you can tweak just about any element from its hierarchy of objects. In this tutorial, we’ll take a look at how to draw a vertical line on a Matplotlib plot, that allows us to mark and highlight certain regions of the plot, without zooming or changing the axis range. Creating a Plot Let’s first create a […]

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Neural Machine Translation (NMT), NMT Leave a comment

Machine Translation Weekly 72: Self-Training for Zero-Shot MT

This week, I will have a look at a pre-print that describes an unconventional setup for zero-shot machine translation. The title of the pre-print is Self-Learning for Zero-Shot Neural Machine Translation and was written by authors from the University of Trento. First of all, I have some doubt about this being really an instance of zero-shot learning (but it is just nitpicking, the paper is interesting regardless of the terminology). In machine learning, zero-shot learning means that a model trained […]

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python_tutorials
Python

Validating and Formatting Phone Numbers in Python with phonenumbers

Introduction Validating phone numbers can be a very challenging task. The format of a phone number can vary from one country to another. Heck, it can also vary within the same country! Some countries share the same country code, while some other countries use more than one country code. According to an example from the Google’s libphonenumber GitHub repository, USA, Canada, and Caribbean islands, all share the same country code (+1). On the other hand, it is possible to call […]

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NLP, target lemma annotations

Issue #122 – Can annotations help to get terminology right in MT?

18 Mar21 Issue #122 – Can annotations help to get terminology right in MT? Author: Dr. Carla Parra Escartín, Global Program Manager @ Iconic Introduction Getting terminology translated properly is a well known challenge for Machine Translation (MT) and an important element when measuring translation quality (both human and machine). In fact, forcing terminology, or getting terminology right is a frequent request from our customers. But getting it right is not a trivial task, and as researchers quest the best […]

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