ich it is encoded.

- the FAP: Finite Automata Package (FAP), a project concerning finite-state
transducers. The finite-state automaton is a simple and efficient computational
device for describing sequences of symbols (words, characters, etc.) known as
the regular languages. The finite-state transducer is a device for linking pairs
of these sequences under the control of a grammar of local correspondences, and
thus provides a means of rewriting one sequence as another. Applications of
these techniques in NLP include: dictionaries, morphological analysis,
part-of-speech tagging, syntactic analysis, and speech processing.

The Xerox Palo Alto Research Center (PARC)'s projects include two main projects
concerning languages: Inter-Language Unification (ILU) and Natural Language
Theory and Technology (NLTT).

The Inter-Language Unification (ILU) System is a multi-language object interface
system. The object interfaces provided by ILU hide implementation distinctions
between different languages, between different address spaces, and between
operating system types. ILU can be used to build multilingual object-oriented
libraries ("class libraries") with well-specified language-independent
interfaces. It can also be used to implement distributed systems, or to define
and document interfaces between the modules of non-distributed programs.

The goal of Natural Language Theory and Technology (NLTT) is to develop theories
of how information is encoded in natural language and technologies for mapping
information to and from natural language representations. This will enable the
efficient and intelligent handling of natural language text in critical phases
of document processing, such as recognition, summarizing, indexing, fact
extraction and presentation, document storage and retrieval, and translation. It
will also increase the power and convenience of communicating with machines in
natural language.

Based in Cambridge, United Kingdom, and Grenoble, France, The Xerox Research
Centre Europe (XRCE) is also a research organization of the international
company XEROX, which focuses on increasing productivity in the workplace through
new document technologies, with several tools and projects relating to
languages.

One of Xerox's research activities is MultiLingual Theory and Technology (MLTT),
to study how to analyze and generate text in many languages (English, French,
German, Italian, Spanish, Russian, Arabic, etc.). The MLTT tea