PyTorch-NLP (torchnlp) extends PyTorch to provide foundational text processing capabilities including dataset loaders, samplers, tokenization helpers, word embedding retrieval, and evaluation metrics for NLP. The library supports common NLP benchmark datasets and includes neural network components like SRU (Simple Recurrent Unit) to accelerate NLP model prototyping.