MorphAdorner, now in version 2.0, is a Java command-line program for the adornment of words in a text. At present, available adornments include standard spellings, parts of speech and lemmata, in addition to tokenization, the recognition of sentence boundaries and extracting names and places. Version 2.0 features a separate MorphAdorner Server, an improved integration with MONK's Abbot and improved processing of the Early English Books Online (EEBO), Eighteenth Century Collections Online (ECCO) and Evans Early American Imprint Collection corpori.

Flemm v3.1 is a free, open source tool for lemmatizing and generating inflections for a French text.

DériF (Dérivation en Français) is a free, web based morphological analyzer for French. It lemmatizes a text and labels each lemma, out of context, with a grammatical category (noun, verb, adjective, etc.).

Lexa is a free legacy set of programs for corpus processing. It is designed to tag and lemmatize texts or series of texts. The website for Lexa is no longer maintained or active, but may still be viewed via the Internet Archive.

TextGrid is a virtual research environment for text-based humanities scholarship. It offers a variety of tools and services for collaboratively creating, analyzing, editing and publishing texts. The TextGrid environment is split into two components, the Laboratory housing the tools and services, and the Repository for preserving reserach data and making it available to other scholars.

LEMMA was a program package for lemmatizing German word-forms released in 1978. It was designed to work with computer-readable corpora. The algorithm was implemented in PL/I on an IBM 370/168 computer.

COGS-3 was a general-purpose concordance program for IBM and DEC mainframe computers at the University of Toronto. It was developed in the 1980s in PL/I and also included a lemmatization feature.

VOCAB - U - LISTER was a tool for lemmatizing texts developed at the University of Toronto in the 1990s. It could handle Spanish text and could process as many as 2000 words at a time.