NLP

10 Must Read ML Blog Posts

I have been doing NLP/ML research for the last 6 years. I have come across a lot of machine learning resources and papers. Today, I kept thinking about the machine learning / NLP / deep learning related blog posts (not papers) that have been transformational for me. In this blog post, I provide a short collection of a few high-impact blog posts that come to mind. This post was originally a Twitter thread. 1) The Unreasonable Effectiveness of Recurrent Neural […]

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Python

Python AI: How to Build a Neural Network & Make Predictions

If you’re just starting out in the artificial intelligence (AI) world, then Python is a great language to learn since most of the tools are built using it. Deep learning is a technique used to make predictions using data, and it heavily relies on neural networks. Today, you’ll learn how to build a neural network from scratch. In a production setting, you would use a deep learning framework like TensorFlow or PyTorch instead of building your own neural network. That […]

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python_tutorials
Python

How to Convert DOCX To Html With Python Mammoth

Introduction At some point in your software development path, you’ll have to convert files from one format to another. DOCX (used by Microsoft Word) is a pretty common file format for a lot of people to use. And sometimes, we’d like to convert Word Documents into HTML. This can easily be achieved via the Mammoth package. It’s an easy, efficient, and fast library used to convert DOCX files to HTML. In this article, we’ll learn how to use Mammoth in […]

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Python

Python Community Interview With Ewa Jodlowska

Today I’m joined by Ewa Jodlowska, executive director of the Python Software Foundation (PSF), the organization devoted to advancing open source technology related to the Python programming language. In this interview, we discuss how Ewa started her tech journey, how COVID-19 affected the PSF, plans for PyCon US 2021, her love of hiking and lifting weights, and much more. Ricky: Thank you for joining me, Ewa. You’ve been at the PSF for over nine years at this point, first as […]

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Neural Machine Translation (NMT), NMT Leave a comment

Machine Translation Weekly 71: Explaining Random Feature Attention

Transformers are the neural architecture that underlies most of the current state-of-the-art machine translation and natural language processing in general. One of its major drawbacks is the quadratic complexity of the underlying self-attention mechanism, which in practice limits the sequence length that could be processed by Transformers. There already exist some tricks to deal with that. One of them is local sensitive hashing that was used in the Reformer architecture (see MT Weekly 27). The main idea was computing the […]

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python_tutorials
Python

Python: How to Print Without Newline or Space

Introduction The print() function in Python appends a newline to the output when displayed on the tty (teletypewriter A.K.A the terminal). When you don’t want your message displayed with newlines or with spaces, how can you change the behavior of print()? This can easily be achieved by altering the default values of the sep and end parameters of the print() function. Printing Without a Newline Until Python version 2.x, print was a reserved keyword that acts as a special statement. […]

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python_tutorials
Python

How to Split a List Into Even Chunks in Python

Introduction Splitting strings and lists are common programming activities in Python and other languages. Sometimes we have to split our data in peculiar ways, but more commonly – into even chunks. The language does not have a built-in function to do this and in this tutorial, we’ll take a look at how to split a list into even chunks in Python. For most cases, you can get by using generators: def chunk_using_generators(lst, n): for i in range(0, len(lst), n): yield […]

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Advanced, Classification, NLP, Project, Python, Structured Data, Supervised, Technique, Text Leave a comment

Language Detection Using Natural Language Processing

Introduction Every Machine Learning enthusiast has a dream of building/working on a cool project, isn’t it? Mere understandings of the theory aren’t enough, you need to work on projects, try to deploy them, and learn from them. Moreover, working on specific domains like NLP gives you wide opportunities and problem statements to explore. Through this article, I wish to introduce you to an amazing project, the Language Detection model using Natural Language Processing. This will take you through a real-world […]

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BPE, NLP

Issue #121 – Finding the Optimal Vocabulary Size for Neural Machine Translation

11 Mar21 Issue #121 – Finding the Optimal Vocabulary Size for Neural Machine Translation Author: Akshai Ramesh, Machine Translation Scientist @ Iconic Introduction Sennrich et al. (2016) introduced a variant of byte pair encoding (BPE) (Gage, 1994) for word segmentation, which is capable of encoding open vocabularies with a compact symbol vocabulary of variable-length subword units. With the use of BPE, the Neural Machine Translation (NMT) systems are capable of open-vocabulary translation by representing rare and unseen words as a […]

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