CoreNLP

Stanford CoreNLP, developed and maintained by the Stanford Natural Language Processing Group, is a natural language processing toolkit extracting linguistic information from raw text — tokenization, part-of-speech tagging, named entity recognition, parsing, coreference resolution, and sentiment analysis. It supports multiple annotators that can be combined for complex analyses with minimal code, covers English, Chinese, Spanish, German, and Arabic, offers flexible configuration to enable or disable specific tools, outputs in XML, text, or serialized formats, and includes a SUTime component for time-expression recognition. A live online demo lets you test it directly without installing anything. Completely free, distributed under the GNU General Public License v3+ (which permits many free uses while restricting proprietary commercial applications). Good fit for an NLP researcher or developer who needs a comprehensive, multi-language linguistic analysis pipeline (not just one task) from an academically rigorous, widely cited toolkit.