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We are expanding and migrating into web apps this suite of English text processing tools. Their names (left side) link to functional summaries below.

Each tool uses a fixed codebase to process syntax, plus an optional semantic module (right side). The core memory manager (yellow) maintains a set of application-specific Topic Maps, which enable both new (green) modules:


 English-like Syntax
 Semantics via Metadata
TRANSCRIBER Phrase Structure PARSER
  • Grammar Rules
  • Rule Application
  • Syntax Structures
 Paragraph INTERPRETER
  • Interface to Context
  • Queries on Semantics
  • Chart Production
MODELER Training via WORDS
  • 1-to-1 Web Dialogs
  • Editing of Lexicons
  • Speech Act Scripts
 Topics in CONTEXT
  • Discourse Models
  • Expected Concepts
  • Semantic Constraints
SCANNER Standard Root LEXICON
  • Morphology
  • Syntactic Features
  • Multitoken Names
 Case Frame THESAURUS
  • Preposition Models
  • Verb Complements
  • Inglish Associations

TRANSCRIBER - analyzes text structures in high-speed memory

The PARSER (yours or ours) structurally diagrams sentences and phrases. To confirm or refine such analyses, it may use the other system modules to find a model for each topic, then test the plausibility of their implied semantic interactions.

Our INTERPRETER is really a suite of support utilities for doing such things.  It can operate as a standalone graph-handling suite called AGENCY, which includes a semantic search engine for triples; structured data base feeds; and rules which react to triple structures.  Even without a parser, the modules below can also pass it quasi-English inputs expressed in situational case frames.

MODELER - manages topic models in a mid term memory

This is a listener for WORDS, a topic-modeling language that can express the cyclic nodes found in any syntax analysis. In standalone mode, it can also interactively define or adjust custom vocabulary extensions.

Either way, CONTEXT models the result under our ontology for Idealized English, which covers a discourse model for handling anaphora, plus a powerful set of open-source semantic constraint patterns that can formally associate or annotate topics to denote whatever WORDS expressions said about them.

SCANNER - finds needed lexical data in long term memory files

Using a LEXICON, this utility maps an English paragraph (posted or read) into a stream of lexical data supporting linguistic analysis. Each data token shows a root, any inflection, part-of-speech, and detailed binary linguistic features supporting tests for complements, etc.

The THESAURUS option adds to each token broad-coverage (surface) semantic models for case frames of common verbs and prepositions, contextually ranked and filtered. To provide for specific vocabulary expected in your own application, it also helps you interactively build up extension lexicons from training texts.


Lexikos Corporation
Boston & Knoxville
Email: Dan@Lexikos.com