/* littext -- automated construct discovery and relationship inference from academic text Copyright (C) 2026 Nebojsa S. Davcik This program is free software: it can be redistributed and/or modified under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version. See the LICENSE file or . littext extracts candidate construct relationships from corpora of academic text (titles, abstracts, full texts). It combines sentence-transformer embeddings, dependency parsing, and co-occurrence statistics to generate a register of candidate relationships of the form "X is associated with Y", "X moderates Z on Y", etc. See CHANGELOG.md for the full release history. */ *! version 1.0 17june2026 littext: automated construct discovery from academic text *! Author: Nebojsa S. Davcik *! License: GPL-3.0-or-later program define littext, eclass version 19.0 gettoken subcmd 0 : 0, parse(" ,") if `"`subcmd'"' == "" { di as err "littext: no subcommand specified" di as txt "" di as txt "Subcommands:" di as txt " {bf:littext analyze} run the construct/relationship pipeline on a corpus" di as txt " {bf:littext graph} produce a figure from the most recent analysis" di as txt " {bf:littext export} write the candidate relationships as a hypothesis register" di as txt " {bf:littext example} load the bundled synthetic corpus" di as txt " {bf:littext install} verify the Python environment" di as txt "" di as txt "See {bf:help littext} for details." exit 198 } if "`subcmd'" == "analyze" { _littext_analyze `0' } else if "`subcmd'" == "graph" { _littext_graph `0' } else if "`subcmd'" == "export" { _littext_export `0' } else if "`subcmd'" == "example" { _littext_example `0' } else if "`subcmd'" == "install" { _littext_install `0' } else { di as err "littext: unknown subcommand '`subcmd''" di as txt "Valid subcommands: analyze, graph, export, example, install" exit 198 } end