I’m trying to use OE to recognize numbers and the alphabet. I replaced the words in the OE example to the following
NSArray *firstLanguageArray = @[
@”ONE”,
@”TWO”,
@”THREE”,
@”FOUR”,
@”FIVE”,
@”SIX”,
@”SEVEN”,
@”EIGHT”,
@”NINE”,
@”A”,
@”B”,
@”C”,
@”D”,
@”E”,
@”F”,
@”G”,
@”H”,
@”I”,
@”JAY”,
@”KAY”,
@”ELLE”,
@”EM”,
@”EN”,
@”OH”,
@”PEE”,

@”QUE”,
@”ARE”,
@”S”,
@”TEE”,
@”YOU”,
@”VEE”,
@”DOUBLEYOU”,
@”EX”,
@”WHY”,
@”ZEE”,

];

and am noticing the incorrect result come up pretty frequently. Suggestions?

You can fix the fact that the letters are spelled phonetically, since that will prevent them from being found in the lookup list and given multiple pronunciations if there are some, but the main way to improve would be a specification change of some kind (organize your app so that only a few of these items are in any given language model or grammar – you will still encounter the e/d/g/p issue, but it will be a bit reduced).

the grammer could look like

ThisWillBeSaidOnce : @[
@{ OneOfTheseWillBeSaidOnce : @[@”T”, @”B”, @”M”]},
@{ OneOfTheseCanBeSaidOnce : @[@”O”, @”E”, @”I”]},
@{ OneOfTheseCanBeSaidOnce : @[@”M”, @”N”, @”K”]},
@{ OneOfTheseCanBeSaidOnce : @[@”E”]},

Or is it obvious to everyone but me that this would that fall apart with a larger number of names (say over 100)?

Your ruleset should look like this I think:

OneOfTheseWillBeSaidOnce : @[
@{ ThisWillBeSaidOnce : @[@”T”, @”O”, @”M”]},
@{ ThisWillBeSaidOnce : @[@”B”, @”E”, @”N”]},
@{ ThisWillBeSaidOnce : @[@”M”, @”I”, @”K”,@”E”]},

etc. I think that will do the recognition you intend, and limit the permutations to a number vaguely in the same ballpark as your corpus size. Plus it’s pretty easy to automate the dynamic generation.