Difference between revisions of "Downloadable NLG systems"

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See [[#SURGE]], [[#SURGE_2.3]], [[#SURG-SP]], [[#SURG-IT]].
[http://www.cs.bgu.ac.il/~elhadad/research.html FUF] is available as the [ftp://ftp.cs.bgu.ac.il/pub/fuf/fuf5.3.tar.gz original Common Lisp implementation] and as a C++ port called [http://www.cs.bgu.ac.il/~elhadad/cfuf.zip CFUF] which has an embedded Scheme interpreter.
For more information, see [[#SURGE]], [[#SURGE_2.3]], [[#SURG-SP]], [[#SURG-IT]].
== GenI ==
== GenI ==

Revision as of 06:53, 12 February 2009

The natural language generation systems listed below are available for download over the web. If you know of a system which is not listed here, please click on Edit in the upper left corner of this page and add the system yourself.



Aggregated deep and Surface naTuRal language GENerator - Prolog based system.



CLINT is a hybrid template / word-based generation system with an example application of business letter generation. The system is written in C++ and runs under Microsoft Windows.


FUF is available as the original Common Lisp implementation and as a C++ port called CFUF which has an embedded Scheme interpreter.

For more information, see #SURGE, #SURGE_2.3, #SURG-SP, #SURG-IT.



surface realiser for (Feature-Based Lexicalised) Tree Adjoining Grammar and a flat MRS-like semantics (sans top handle and underspecification). Toy example grammars provided for English and French. Largish core grammar for French is under development (contact us for details). GPL, known to work under Linux and Mac OS X (potential for making it work on Windows as well). Written in Haskell. Source code avalailable via darcs.

Grammar Explorer


provides a means of exploring large-scale systemic-functional grammars in order to see how they are organized and what kinds of things they cover. It can be used to explore the KPML resources. Downloadable standalone executables of the grammar explorer are available for Windows 95/98/NT. These already include a version of the Nigel grammar of English and pre-installed examples.



HALogen is a general-purpose natural language generation system developed by Irene Langkilde-Geary and Kevin Knight at the USC Information Sciences Institute. The download package consists of the symbolic generator, the forest ranker, and some sample inputs. The symbolic generator includes the Sensus Ontology dictionary (which is based on WordNet). The forest ranker includes a 250-million word ngram language model (unigram, bigram, and trigram) trained on WSJ newspaper text. The symbolic generator is written in LISP and requires a CommonLisp interpreter.



The KPML system offers a robust, mature platform for large-scale grammar engineering that is particularly oriented to multilingual grammar development and generation. It is particularly targetted at providing resources for realistic but broad-coverage generation applications, where both flexibility of expression and speed of generation are at issue—for example in online webpage generation or spoken dialogue. KPML is also used extensively in multilingual text generation research and for teaching. It is based on systemic functional linguistics.

The KPML system was a direct descendent of the Penman text generation system, as developed further multilingually in cooperative work between the Komet (http://www.darmstadt.gmd.de/publish/komet/index.html) project in Darmstadt and the Systemic Modelling Group at Macquarie University. Downloadable standalone executables of the system are available for PCs running Windows. The source code is written in ANSI Common Lisp and uses the Common Lisp Interface Manager (CLIM). The system has been compiled and tested under Franz Allegro Common Lisp (4.2, 4.3, 4.3.1, 5.0, 6.0, 7.0) for Unix and Franz Allegro Common Lisp 3.0 and Harlequin Lispworks 4.0, 4.1, 4.2 for Windows. It is possible to use the system without the window interface as a generator serving requests for generation across sockets or via files.

A growing set of generation grammars are under development for a variety of languages, inlcluding English, Spanish, Dutch, Chinese, German, Czech, and more. See the Generation Bank (http://www.fb10.uni-bremen.de/anglistik/langpro/kpml/genbank/generation-bank.html ) for current examples. The development of further languages and of extensions to existing resources are very welcome!

Multimodal Unification Grammar


MUG Workbench is a development and debugging tool for Multimodal NLG. The grammar formalism supported is Multimodal Functional Unification Grammar (MUG). The MUG system runs MUG grammars with fixed (test cases) and arbitrary input specifications to produce output in a natural language, graphical user interface and possibly in other modes. It is designed to do three things: - Multimodal Fission (distributing output to interaction/communication modes) - Some sentence planning (chosing information to include in the utterance) - Natural Language and graphical user interface realization (producing some form of output) The MUG system does these three jobs in parallel. MUG Workbench can serve to inspect the data-structures used during generation. It should help you to learn more about the nature of unification grammars used for parsing or natural language generation. Furthermore, the MUG Workbench is helpful in debugging your grammars.


http://www.aueb.gr/users/ion/software/NaturalOWL1.1.tar.gz NaturalOWL (version 1.1)

Generates descriptions of entities and classes from OWL ontologies that have been annotated with linguistic and user modeling resources expressed in RDF. Currently supports English and Greek. Extensions for other languages welcome. NaturalOWL can also be used as a Protégé plug-in. See here for publications describing NaturalOWL. (GPL)

Project Reporter


Project Reporter generates dynamic web-based project status reports from files created with Microsoft Project or other compatible project management software. Reports feature hyperlinked textual descriptions of project elements, as well as coordinated multimodal display with an interactive Gantt chart applet. Commercial product. Implemented in Java. Free 30-day evaluation; on-line demo on website.

RAGS (Reference Architecture for Generation Systems) software


Deliverables from the RAGS project - RAGSOCKS software for interfacing modules using RAGS data representations, example RAGS module (genetic algorithm based text planner) and RAGS wrapper for FUF/SURGE.



is a tool which allows you to graphically annotate the rhetorical structure of your text. The structure can be saved in an xml format, or save eps versions of the structure diagram for inclusion in Latex, etc. Written in Tcl/Tk. Runs on any machine.



is an ultra-simple Java-based realiser. Its grammatical coverage and syntactic knowledge is minuscule compared to KPML or FUF/SURGE. However, because it is so simple, its relatively easy for people to learn how to use it. It has been used by many people in Aberdeen, and also for teaching. It is set up as a Java package, so it can only be used by Java programs.



Syntactic realization package. (A CommonLisp package providing an interpreter for a functional unification formalism called FUF and SURGE, a large grammar of English written in FUF.) Offers download of SURGE 2.2.



The latest version of Surge, including support for written dialogue, and expanded syntactic coverage based on the Penn TreeBank.



Systemic Unification Reusable Grammar for Spanish is a large scale Spanish grammar allowing systems which already use FUF/SURGE for English NLG to be able to generate syntactically (and many times semantically) equivalent text in Spanish when new lexical items are introduced. SURG-SP makes use of inputs almost identical to the English version Surge 2.3.



The Italian version of Surge 2.3.



is a shallow verbalizer that can be quickly accustomed to new domains and tasks. It combines context-free grammars with templates and canned text in a single formalism. Thus the granularity of the language model may depend on the application needs. The system currently runs under Solaris 2.5. It is available freely under a research license.

Siggen-logo.gif This page was imported semi-automatically from the NLG Resources Wiki which was run by ACL SIGGEN in the years 2005–2009. Please correct conversion errors and help update its contents.

Now this page is associated with the Natural Language Generation Portal.