PHPCLANCHILDES with regular expressions

6 matches in 5 utterances

3.11 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (477 utterances, 1,927 words searched).

  1. charles, you wanna play with those? MOT · downs-flusberg/charles3.cha, line 111
  2. charles? MOT · downs-flusberg/charles3.cha, line 124
  3. wait, charles. MOT · downs-flusberg/charles3.cha, line 629
  4. <oh> [/?] <charles> [/?] charles, what's that? MOT · downs-flusberg/charles3.cha, line 806
  5. <oh> [/?] <charles> [/?] charles, what's that? MOT · downs-flusberg/charles3.cha, line 806
  6. you know what that is charles? MOT · downs-flusberg/charles3.cha, line 1014
  1. downs-flusberg/charles3.cha, line 111
    MOTthere it ges.
    CHIxxx, these mom.
    MOT*MOT: charles, you wanna play with those?
    CHIblocks.
    MOTblocks.
  2. downs-flusberg/charles3.cha, line 124
    MOT<ooo> [/?] okay.
    MOTnow look what's in the box?
    MOT*MOT: charles?
    MOTwhat's in the box?
    CHIthere.
  3. downs-flusberg/charles3.cha, line 629
    CHIgoing.
    MOT<wait> [/?] wait!
    MOT*MOT: wait, charles.
    MOTwhere's he going?
    CHIbigbird.
  4. downs-flusberg/charles3.cha, line 806
    CHIbigbird.
    MOTyou wanna look at this?
    MOT*MOT: <oh> [/?] <charles> [/?] charles, what's that?
    CHIpresent.
    MOTyeah.
  5. downs-flusberg/charles3.cha, line 1014
    MOTmore fences.
    CHImom!
    MOT*MOT: you know what that is charles?
    CHIa deer.
    MOT<oh> [/?] it does look like a deer, doesn't it?

Matches by child

Matches per 1,000 words, all transcripts of each child together, highest first.

  1. Charles downs-flusberg3.11
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
downs-flusberg/charles3.chaCharles 1,927563.11

What the pattern matched

1 different forms (lowercased). Useful to see what a pattern really catches: unexpected forms here usually mean the pattern is too broad.

  1. charles6 · 100.0%