1 files changed, 0 insertions, 57 deletions
diff --git a/examples/query/README b/examples/query/README
deleted file mode 100644
index 94ead32e7..000000000
--- a/examples/query/README
+++ /dev/null
@@ -1,57 +0,0 @@
-Copyright (c) 2010 Aarne Ranta, under LGPL(3).
-Part of MOLTO Project, WP 4.
-
-Query language, based on the corpus from Ontotext.
-
-Purpose: natural language queries to an ontology database.
-
-Work in progress: 
-- 19 June parsing 28% 160/562
-- 17 June 2010 first version, parsing under 10%
-
-
-The corpus contains misspellings and ungrammatical sentences; these will (mostly) not
-be covered by the grammar.
-
-Test:
-
-  -- start GF with the grammar; notice that lib/present/ must have latest Eng libraries,
-  -- which can be provided by 'runghc Make present lang api langs=Eng' in lib/src/
-  % gf QueryEng.gf
-  -- parse a sentence and see all variants
-  > p "Bulgarian people working at Google" | l -all
-
-Regression test:
-
-  -- run the parser on the corpus
-  % gf QueryEng.gf <test.gfs > test.results8
-  -- compute the number of sentences not covered
-  % grep "no tree" test.results8 | wc
-
-
-Semantics: generic logical semantics, that could be mapped to many query languages.
-The denotations of the main categories are, assuming a domain of individuals:
-
-  Set ;           P(P(D)) (generalized quantifier) -- the set requested, e.g. "all persons"
-  Function ;      D -> P(D)   -- something of something, e.g. "subregion of Bulgaria"
-  Kind ;          P(D)        -- type of things,         e.g. "person"
-  Relation ;      D -> D -> T -- relation between things,e.g. "employed at"
-  Property ;      D -> T      -- property of things,     e.g. "employed at Google"
-  Individual ;    D           -- one entity,             e.g. "Google"
-  Name ;          D           -- person, company...      e.g. "Eric Schmidt"
-
-
-Characteristics:
-- simple AST's, lots of variants (easily hundreds per query)
-- semantic overgeneration, e.g. "Google works at Larry Page"
-- some ambiguities, e.g.
-
-    > give me the organizations and their locations
-    MQuery (QFun Location (SAll Organization))
-    MQuery (QFunPair (SAll Organization) Location)
-   
-  Maybe harmless?
-
-Resource grammar was not quite enough; added for instance multiple interrogatives
-("who is employed as what where") in Extra and ExtraEng
-