data/nml-0.5.2/README.md:159: Soler ==> Solver, solar, solely
data/nml-0.5.2/docs/changelog.txt:194: Build-in ==> Built-in
data/nml-0.5.2/docs/changelog.txt:273: improvments ==> improvements
data/nml-0.5.2/docs/changelog.txt:346: occurences ==> occurrences
data/nml-0.5.2/docs/changelog.txt:365: eachother ==> each other
data/nml-0.5.2/docs/nmlc.1:5: Nd ==> And, 2nd
data/nml-0.5.2/docs/nmlc.1:71: Soler ==> Solver, solar, solely
data/nml-0.5.2/examples/industry/example_industry.nml:37: VALU ==> VALUE
data/nml-0.5.2/examples/road_vehicle/example_road_vehicle.nml:186: TE ==> THE, BE, WE
data/nml-0.5.2/examples/road_vehicle/example_road_vehicle.nml:237: TE ==> THE, BE, WE
data/nml-0.5.2/examples/road_vehicle/example_road_vehicle.nml:288: TE ==> THE, BE, WE
data/nml-0.5.2/examples/road_vehicle/example_road_vehicle.nml:339: TE ==> THE, BE, WE
data/nml-0.5.2/examples/train/example_train.nml:81: orignal ==> original
data/nml-0.5.2/examples/train/example_train.nml:203: TE ==> THE, BE, WE
data/nml-0.5.2/examples/train/example_train.nml:215: TE ==> THE, BE, WE
data/nml-0.5.2/examples/train/example_train.nml:300: TE ==> THE, BE, WE
data/nml-0.5.2/examples/train/lang/dutch.lng:3: als ==> also
data/nml-0.5.2/examples/train/lang/dutch.lng:13: te ==> the, be, we
data/nml-0.5.2/nml/_lz77.c:72: occurence ==> occurrence
data/nml-0.5.2/nml/_lz77.c:195: intialisation ==> initialisation
data/nml-0.5.2/nml/free_number_list.py:27: refering ==> referring
data/nml-0.5.2/nml/generic.py:327: progess ==> progress
data/nml-0.5.2/nml/generic.py:516: soure ==> source, sure, sore, sour, soured
data/nml-0.5.2/nml/global_constants.py:132: aircrafts ==> aircraft
data/nml-0.5.2/nml/grfstrings.py:361: Exptected ==> Expected
data/nml-0.5.2/nml/grfstrings.py:1209: langauge ==> language
data/nml-0.5.2/nml/main.py:145: ouput ==> output
data/nml-0.5.2/nml/output_base.py:307: chunck ==> chunk
data/nml-0.5.2/nml/output_grf.py:34: non-existant ==> non-existent
data/nml-0.5.2/nml/actions/action14.py:259: VALU ==> VALUE
data/nml-0.5.2/nml/actions/action2.py:208: refernce ==> reference
data/nml-0.5.2/nml/actions/action2random.py:178: paramter ==> parameter
data/nml-0.5.2/nml/actions/action3_callbacks.py:32: neccesary ==> necessary
data/nml-0.5.2/nml/actions/action7.py:157: preceeding ==> preceding, proceeding
data/nml-0.5.2/nml/actions/actionB.py:94: sting ==> string
data/nml-0.5.2/nml/actions/actionD.py:30: Paramter ==> Parameter
data/nml-0.5.2/nml/actions/actionD.py:36: Paramter ==> Parameter
data/nml-0.5.2/nml/actions/real_sprite.py:193: paramater ==> parameter
data/nml-0.5.2/nml/actions/real_sprite.py:194: paramater ==> parameter
data/nml-0.5.2/nml/actions/real_sprite.py:195: paramater ==> parameter
data/nml-0.5.2/nml/actions/real_sprite.py:196: paramater ==> parameter
data/nml-0.5.2/nml/actions/real_sprite.py:435: paramater ==> parameter
data/nml-0.5.2/nml/actions/real_sprite.py:436: paramater ==> parameter
data/nml-0.5.2/nml/ast/error.py:22: occured ==> occurred
data/nml-0.5.2/nml/ast/error.py:23: imcompatible ==> incompatible
data/nml-0.5.2/nml/ast/error.py:35: predifined ==> predefined
data/nml-0.5.2/nml/ast/item.py:116: insde ==> inside
data/nml-0.5.2/nml/expression/functioncall.py:150: Heighest ==> Highest
data/nml-0.5.2/nml/expression/storage_op.py:34: containting ==> containing
data/nml-0.5.2/regression/030_house.nml:54: Parmaeters ==> Parameters
data/nml-0.5.2/regression/expected/011_snowline.nfo:39: BA ==> BY, BE
data/nml-0.5.2/regression/expected/011_snowline.nfo:51: BA ==> BY, BE
data/nml-0.5.2/regression/expected/020_recolour.nfo:40: BA ==> BY, BE
data/nml-0.5.2/regression/expected/020_recolour.nfo:57: BA ==> BY, BE
data/nml-0.5.2/regression/expected/020_recolour.nfo:74: BA ==> BY, BE
data/nml-0.5.2/regression/expected/021_grf_parameter.nfo:34: VALU ==> VALUE
data/nml-0.5.2/regression/expected/026_asl.nfo:41: BA ==> BY, BE
data/nml-0.5.2/regression/expected/026_asl.nfo:58: BA ==> BY, BE
data/nml-0.5.2/regression/expected/026_asl.nfo:103: BA ==> BY, BE
data/nml-0.5.2/regression/expected/026_asl.nfo:120: BA ==> BY, BE
data/nml-0.5.2/regression/expected/example_industry.nfo:24: VALU ==> VALUE
data/nml-0.5.2/regression/expected/example_train.nfo:12: als ==> also
data/nml-0.5.2/regression/expected/example_train.nfo:24: VALU ==> VALUE
data/nml-0.5.2/regression/expected/example_train.nfo:42: te ==> the, be, we
data/nml-0.5.2/regression/expected/example_train.nfo:333: BA ==> BY, BE
data/nml-0.5.2/debian/rules:35: supresses ==> suppresses