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 ...

Click anywhere on the Word document. On the menu bar, click the Insert tab. In the Text group, click the Quick Parts button. Then select Field from the drop-down menu. A Field dialog box will appear.

LangGraph is a powerful framework by LangChain designed for creating stateful, multi-actor applications with LLMs. It provides the structure and tools needed to build sophisticated AI agents through a ...

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 ...

Extract text content from an HTML page, process it, and extract unique words from the processed text. This notebook utilizes various text processing techniques including cleaning, normalization, ...

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 ...

Several applications including text-to-speech re-quire some normalized format of non-standard words in various domains such as numbers, dates, and currencies and in various human languages. 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 ...