textsin

Textsin is an open-source framework for transforming and generating natural language text. It provides a modular pipeline intended for preprocessing, text normalization, paraphrase generation, style transfer, and text augmentation. The design emphasizes preserving core semantic content while altering surface characteristics such as phrasing, formality, or terminology.

Textsin was created to address common NLP needs in research and production environments, offering interoperable components that can be combined with various language models and data sources. It supports multiple input formats and can operate in batch, streaming, or interactive modes, making it suitable for dataset preparation, model fine-tuning, and content generation workflows.

The architecture centers on a pluggable pipeline. Core stages include ingestion, normalization, tokenization, model-agnostic transformation, and quality evaluation. It includes adapters for popular model families and a set of evaluation metrics for semantic fidelity, grammaticality, and diversity. Extensible data schemas and serialization formats facilitate integration with existing data pipelines.

Use cases range from data augmentation for NLP training to automated style transfer experiments and content generation. It is also used for sanitizing data prior to training by standardizing terminology and removing sensitive information.

Limitations include the dependence on underlying language models, potential biases, and computational costs. The project maintains documentation and a community-driven ecosystem with example workflows and tutorials.