Goto

Collaborating Authors

 online text


Look Ma, Only 400 Samples! Revisiting the Effectiveness of Automatic N-Gram Rule Generation for Spelling Normalization in Filipino

arXiv.org Artificial Intelligence

With 84.75 million Filipinos online, the ability for models to process online text is crucial for developing Filipino NLP applications. To this end, spelling correction is a crucial preprocessing step for downstream processing. However, the lack of data prevents the use of language models for this task. In this paper, we propose an N-Gram + Damerau Levenshtein distance model with automatic rule extraction. We train the model on 300 samples, and show that despite limited training data, it achieves good performance and outperforms other deep learning approaches in terms of accuracy and edit distance. Moreover, the model (1) requires little compute power, (2) trains in little time, thus allowing for retraining, and (3) is easily interpretable, allowing for direct troubleshooting, highlighting the success of traditional approaches over more complex deep learning models in settings where data is unavailable.



This Is the Textbook's Time to Shine

Slate

When schools closed this spring, many parents, including me, felt overwhelmed and underwater trying to help our children participate in distance learning. Every day seemed to usher in a new way for my husband and me to fail at reading emails, managing logins, printing worksheets, troubleshooting tech problems, photographing assignments, and keeping track of class Zooms. Being an educator as well as a parent gave my experience a particularly nightmarish quality, as if I were somehow both the driver and pedestrian in this collision. As a teacher, I participated in a flurry of trainings on using various apps to make videos, find e-books, host meetings, use data, and share student work, but as a parent, I could not keep up. It doesn't have to be this hard.


13 Free Sites to Get an Introduction to Machine Learning

#artificialintelligence

Its one of those buzzwords that we've all heard whether we're programmers or not: machine learning. Unlike other trends in the past, machine learning isn't a fad, it really is the future. As AIs become more and more sophisticated, programmers need to get up to speed on what it is, how it works, and the latest trends in the field. Fortunately, these 13 free resources offer an excellent introduction to machine learning so you can get started with some basic machine learning tutorials right away. Before you begin to study the machine learning basics, make sure you're familiar with the python scripting language.


13 Free Sites to Get an Introduction to Machine Learning

#artificialintelligence

If you're a programmer and you've been looking to get started with machine learning but aren't sure where to begin, these 13 resources are for you. Its one of those buzzwords that we've all heard whether we're programmers or not: machine learning. Unlike other trends in the past, machine learning isn't a fad, it really is the future. As AIs become more and more sophisticated, programmers need to get up to speed on what it is, how it works, and the latest trends in the field. Fortunately, these 13 free resources offer an excellent introduction to machine learning so you can get started with some basic machine learning tutorials right away.