Artificial intelligence has become embedded in nearly every operational layer of modern institutions. It parses docume ...

wget https://github.com/k2-fsa/sherpa-onnx/releases/download/asr-models/sherpa-onnx-paraformer-zh-2023-09-14.tar.bz2 tar xvf sherpa-onnx-paraformer-zh-2023-09-14.tar ...

LangExtract lets users define custom extraction tasks using natural language instructions and high-quality “few-shot” examples. This empowers developers and analysts to specify exactly which entities, ...

Tomorrow, we’ll build a full Rich Text Editor with bold, italic, font styles, colors, links—you name it. But first, let’s master the basics.

Across the country, people are experiencing a sudden surge of anonymous messages that often begin with a simple "hello" or a similar greeting like "hi." These unexpected communications can leave you ...

This python module is an easy-to-use port of the text normalization used in the paper "Not low-resource anymore: Aligner ensembling, batch filtering, and new datasets for Bengali-English machine ...

Abstract: Text normalization is the process of mapping non-sanctioned text to a standardized format in order to extract some meaningful inferences from it. Some important examples include computer ...

Abstract: While there have been several contributions exploring state of the art techniques for text normalization, the problem of inverse text normalization (ITN) remains relatively unexplored. The ...

We introduce a social media text normalization system that can be deployed as a preprocessing step for Machine Translation and various NLP applications to handle social media text. The proposed system ...