This project provides 100+ Chinese Word Vectors (embeddings) trained with different representations (dense and sparse), context features (word, ngram, character, and more), and corpora. One can easily ...

ABSTRACT: This paper examines the extent to which competencies taught in Congolese universities match the skills required by the labour market. Using official curricula from the Ministry of Higher and ...

Word Embedding (Python) is a technique to convert words into a vector representation. Computers cannot directly understand words/text as they only deal with numbers. So we need to convert words into ...

Some Head Start early childhood programs are being told by the federal government to remove a list of nearly 200 words and phrases from their funding applications or they could be denied. That's ...

After decades of using both Google's and Microsoft's productivity suites, it's clear that one continues to deliver the strongest combination of power, flexibility, and collaborative capability. I've ...

AI isn’t just impacting how we write — it’s changing how we speak and interact with others. And there’s only more to come. AI isn’t just impacting how we write — it’s changing how we speak and ...

This code is a minimalistic example of how to use TensorBoard visualization of embeddings saved in a TensorFlow session. Embedding is a mapping of data set from a high-dimensional to a low-dimensional ...

In a recent episode of his highly influential podcast, Joe Rogan declared what he sees as the latest triumph in the cultural battle over language: the return of the “R-word.” Subscribe to read this ...