Stanford Part-of-Speech Tagger is a free Java implementation for the recognition of parts of speech, and a part of the Stanford Natural Language Processing toolset. It reads text and assigns parts of speech to each word such as noun, verb or adjective. This tool can be used with English, French, Arabic and German text.

Stanford Parser is a free Java implementation for the statistical parsing of text, and a part of the Stanford Natural Language Processing toolset. This tool can be used with English, Chinese, German and Arabic. A demo web browser version is also available. 

Stanford Word Segmenter is a free, open source Java-based tokenization tool for Chinese and Arabic text that integrates token pre-processing, or segmentation. For Arabic, the tool processes text according to the Penn Arabic Treebank 3 standard. For Chinese, users can choose between the Chinese Penn Treebank or Peking University standards.

Overview is a free, web-based tool for document mining. Developed by and for journalists, Overview is also broadly applicable to other corpus-based research applications. Aside from providing advanced search features such as regular expressions and fuzzy matching, Overview automatically sorts documents according to topic and provides a fast visualization and reading interface. You can apply tags to search results, individual documents, or entire topics to track what you've found, then export the entire document set with its tags to perform further processing or create visualization. It’s been used for qualitative research, social media conversation analysis, legal document review, digital humanities, and more.