Statistical NLG for spoken dialogue systems
- natural-language-generation
- dialogue
- seq2seq
- python
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Statistical NLG for spoken dialogue systems
Convert a number to an approximated text expression: from '0.23' to 'less than a quarter'.
Associated Repository for "Translation between Molecules and Natural Language"
Implementation of the paper -> https://arxiv.org/abs/1709.00155. For converting information present in the form of structured data into natural language text
Natural language detection package in pure Go
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Human-readable schedule expressions for .NET (C#): write "every day at 9am except sunday" instead of cron. Time zones, fluent builder, custom keywords, cron converter.
🔤 Natural language detection for Elixir without AI
Apache cTAKES is a Natural Language Processing (NLP) platform for clinical text.
:new: Demo code for the Natural Language Understanding Service.
Fast Porter stemmer implementation
Nickel extracts date, time, and message information from naturally worded text.
Develop and deploy smart contracts using natural language.
svelte-fluent is a powerful localization library for Svelte and SvelteKit that enables you to integrate translations using Mozilla's natural-sounding Fluent syntax easily.
German language support for TextBlob.
Natural language parser for recurring events
A Multilingual Latent Dirichlet Allocation (LDA) Pipeline with Stop Words Removal, n-gram features, and Inverse Stemming, in Python.
Code repository for The Automation Ahead series, showcasing practical examples for GenAI-driven automation in investments. Each installment dives into specific tools, techniques, and use cases to help professionals assess and apply GenAI effectively.
Combining numi-cli and a scratch buffer to evaluate natural language expressions within Neovim
A natural language date and time parser for Common Lisp
A wrapper module for using spaCy natural language processing library from the Ruby programming language via PyCall
The Harmony Python library: a research tool for psychologists to harmonise data and questionnaire items. Open source.
A natural language understanding system for English