PHPCLANCHILDES with regular expressions

7 matches in 6 utterances

7.94 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (244 utterances, 882 words searched).

  1. put your dollie in bed ? MOT · eng_USA_Brown/sarah024.cha, line 986 · Sarah 2;08
  2. when'd you get that dollie ? MOT · eng_USA_Brown/sarah024.cha, line 1098 · Sarah 2;08
  3. <who gave you that dollie> [?] . MOT · eng_USA_Brown/sarah024.cha, line 1106 · Sarah 2;08
  4. your dollie's asleep ? MOT · eng_USA_Brown/sarah024.cha, line 1153 · Sarah 2;08
  5. where'd that dollie come from ? MOT · eng_USA_Brown/sarah024.cha, line 1338 · Sarah 2;08
  6. what's the dollie's name # that dollie ? MOT · eng_USA_Brown/sarah024.cha, line 1346 · Sarah 2;08
  7. what's the dollie's name # that dollie ? MOT · eng_USA_Brown/sarah024.cha, line 1346 · Sarah 2;08
  1. eng_USA_Brown/sarah024.cha, line 986 · Sarah, 2;8.02
    CHIxxx .
    CHII put xxx bed .
    MOT*MOT: put your dollie in bed ?
    MOTyou gonna go ni(ght)+ni(ght) ?
    CHIno .
  2. eng_USA_Brown/sarah024.cha, line 1098 · Sarah, 2;8.02
    MOThere # Michael .
    CHIxxx .
    MOT*MOT: when'd you get that dollie ?
    CHIxxx .
    CHIxxx do(ll)y .
  3. eng_USA_Brown/sarah024.cha, line 1106 · Sarah, 2;8.02
    CHIxxx do(ll)y .
    CHIxxx [?] .
    MOT*MOT: <who gave you that dollie> [?] .
    CHIno know .
    MOThuh ?
  4. eng_USA_Brown/sarah024.cha, line 1153 · Sarah, 2;8.02
    CHIgoodbye fire+en(gine) .
    CHIxxx my doll sleep # Mummy .
    MOT*MOT: your dollie's asleep ?
    CHIxxx .
    CHIxxx .
  5. eng_USA_Brown/sarah024.cha, line 1338 · Sarah, 2;8.02
    CHIxxx .
    CHIwhere my xxx .
    MOT*MOT: where'd that dollie come from ?
    MOTwww .
    CHIxxx .
  6. eng_USA_Brown/sarah024.cha, line 1346 · Sarah, 2;8.02
    MOTwww .
    CHIxxx .
    MOT*MOT: what's the dollie's name # that dollie ?
    MOTthat Hedda ?
    CHIHedda .

Matches by age

One dot per transcript: matches per 1,000 words of everyone but CHI. Dots of the same child are joined.

Matches by child

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

  1. Sarah eng_USA_Brown7.94
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah024.chaSarah 2;8.02882677.94

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. dollie7 · 100.0%