Spell-check

opencog/base/Dockerfile

@@ -13,7 +13,7 @@ ENV DEBIAN_FRONTEND=noninteractive
 
 # Bump this date, in order to force the apt-update to run again.
 # Otherwise, it will use the cached Docker container, which might
-# be stale or be missing secruity updates.
+# be stale or be missing security updates.
 ENV LAST_OS_UPDATE 2023-02-07
 RUN apt-get update && apt-get -y upgrade
 
@@ -60,7 +60,7 @@ USER opencog
 WORKDIR /home/opencog
 
 # Setup config files
-## Dont't mount host volumes to opencog's home directory inside the
+## Don't mount host volumes to opencog's home directory inside the
 ## container, if you do you will not find the contents copied below
 COPY /scripts/ /home/opencog
 RUN sudo chown -R opencog:opencog .guile .gdbinit

opencog/lang-model/scripts/experiments/run-word-pairs/0-pipeline.sh

@@ -2,7 +2,7 @@
 #
 # 0-pipeline.sh
 #
-# Master file for configuration parameters for langugage learning.
+# Master file for configuration parameters for language learning.
 # This particular file is aimed at artificial-language/corpus
 # generation and processing.
 # ----------

opencog/lang-model/scripts/experiments/run-word-pairs/README.md

@@ -21,7 +21,7 @@ to get these datasets.
 * r13-one-sim200.rdb -- 8.2GB to load word-pairs, word-disjunct
    pairs and similarities.
 
-* r13-all-in-one.rdb -- trimed, modified copy of `r14-sim200.rdb`
+* r13-all-in-one.rdb -- trimmed, modified copy of `r14-sim200.rdb`
      It has the following stuff:
      -- Word pairs, from long ago.  These are trimmed to remove all
         word-pairs with MI of 1.1 or less, leaving 3.9M pairs.

opencog/lang-model/scripts/experiments/run-word-pairs/scm/navigate.scm

@@ -2,7 +2,7 @@
 ; navigate.scm
 ;
 ; Quick-n-dirty wrapper for getting word-pair similarity.
-; Assumes that there are matrix objets and loaded data
+; Assumes that there are matrix objects and loaded data
 ; as descrbied in README.md
 ;
 
@@ -14,8 +14,8 @@
 ; So, given a vertex, the left-stars are a list of all edges
 ; pointing at the vertex.  The right-stars are all the edges
 ; pointing away from the vertex.  The left-duals are all the
-; vertexes that have edges pointing at the target. The right-duals
-; are all the vertexes that have edges pointing away from the target.
+; vertices that have edges pointing at the target. The right-duals
+; are all the vertices that have edges pointing away from the target.
 ;
 ; The MI is the mutual information of an edge. Get it by saying
 ; `(pair-freq 'pair-fmi edge-atom)`
@@ -39,13 +39,13 @@
 				(STARS-OBJ 'get-pair OTHER-VERTEX TARGET-VERTEX)))
 
 		; Define a compare function that compares two
-		; vertexes... assuming both have the target-vertex
+		; vertices... assuming both have the target-vertex
 		; in common.
 		(define (compare-fun VTX-A VTX-B)
 			(> (SCORE-EDGE (get-edge VTX-A))
 			   (SCORE-EDGE (get-edge VTX-B))))
 
-		; Get the list of all vertexes that are joined
+		; Get the list of all vertices that are joined
 		; by some edge to the target vertex.
 		(define tail-verts
 			(if FWD

opencog/lang-mst/autorun.sh

@@ -11,7 +11,7 @@
 # marginals, and copies out the resulting dataset.
 #
 # Expects to find a text corpus in the `input-pages/pair-counted` directory.
-# Expects a databse with word-pair marginals in `data/mst-parse.rdb`
+# Expects a database with word-pair marginals in `data/mst-parse.rdb`
 #
 # If used with the `-u` flag, then an existing container will be updated
 # with additional counting. Useful for splitting up large counting runs

opencog/lang-mst/demo-dict-mpg/storage.dict

@@ -87,7 +87,7 @@
 % -----------------------
 % Pair config.
 %
-% Novel sentences containining rarely-seen words might not be parsable,
+% Novel sentences containing rarely-seen words might not be parsable,
 % even when the sections on them are decorated with extra connectors.
 % In this case, fall back to MST-style parsing, and create disjuncts
 % consisting of connectors obtained entirely from word-pairs.
@@ -135,7 +135,7 @@
 % Enable expressions that consist entirely of "ANY" link-types.
 #define any-disjuncts 1;
 
-% Enble the automatic generation of <UNKNOWN-WORD>. It will be
+% Enable the automatic generation of <UNKNOWN-WORD>. It will be
 % automatically added to the dictionary, with multi-ANY connectors
 % on it. The ANY connectors will be used, irresepctive of the other
 % `any` setting above.

opencog/lang-pairs/demo-dict-pair/README.md

@@ -2,7 +2,7 @@ Demo Atomese word-pair dictionary
 ---------------------------------
 This is an example configuration for an AtomSpace-backed dictionary,
 configured for parsing using word-pair MI data. The resulting parses
-are Maximimum Planar Graph parses: parses that draw links between words
+are Maximum Planar Graph parses: parses that draw links between words
 in such a way as to maximize the MI between word-pairs.
 
 For general info about Link Grammar dictionaries running out of the

opencog/lang-pairs/demo-dict-pair/storage.dict

@@ -85,7 +85,7 @@
 % Create expressions that consist entirely of "ANY" link-types.
 #define any-disjuncts 0;
 
-% Enble the automatic generation of <UNKNOWN-WORD>. It will be
+% Enable the automatic generation of <UNKNOWN-WORD>. It will be
 % automatically added to the dictionary, with multi-ANY connectors
 % on it. The ANY connectors will be used, irresepctive of the other
 % `any` setting above.

opencog/lang-pairs/scripts/count-pairs.sh

@@ -23,7 +23,7 @@ source 2-pair-conf.sh
 cd run
 rm -rf 3-mst-parsing 4-gram-class
 
-# Remove semphore, just in case.
+# Remove semaphore, just in case.
 rm -f /tmp/pair-marginals-done
 
 # Run the pair-counting pipeline in byobu.

opencog/learn/Dockerfile

@@ -13,7 +13,7 @@ WORKDIR /home/opencog
 RUN guile -c "(use-modules (opencog nlp))"
 RUN guile -c "(use-modules (opencog learn))"
 
-# Place a basic recommended configurtion where the user can find it.
+# Place a basic recommended configuration where the user can find it.
 COPY /scripts/ /home/opencog
 RUN sudo chown -R opencog:opencog setup-for-experiments.sh
 RUN chmod ugo+x setup-for-experiments.sh

opencog/learn/README.md

@@ -1,7 +1,7 @@
 opencog/learn
 -------------
 This docker image contains all of the tools needed for the "learn"
-subystem, including the nlp subsystem.
+subsystem, including the nlp subsystem.
 
 ## Building