PHPCLANCHILDES with regular expressions

9 matches in 9 utterances

5.31 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (491 utterances, 1,696 words searched).

  1. what's in there . MOT · eng_british_Manchester_II/nic15b.cha, line 48 · Nicole 2;05
  2. what's that ? MOT · eng_british_Manchester_II/nic15b.cha, line 271 · Nicole 2;05
  3. what's that you've got in your hand ? MOT · eng_british_Manchester_II/nic15b.cha, line 277 · Nicole 2;05
  4. what's that ? MOT · eng_british_Manchester_II/nic15b.cha, line 288 · Nicole 2;05
  5. what's a cabby@c ? MOT · eng_british_Manchester_II/nic15b.cha, line 883 · Nicole 2;05
  6. what's a cabby@c ? MOT · eng_british_Manchester_II/nic15b.cha, line 889 · Nicole 2;05
  7. now what's wrong with it ? MOT · eng_british_Manchester_II/nic15b.cha, line 1096 · Nicole 2;05
  8. what's gone now ? MOT · eng_british_Manchester_II/nic15b.cha, line 1297 · Nicole 2;05
  9. what's the matter ? MOT · eng_british_Manchester_II/nic15b.cha, line 1527 · Nicole 2;05
  1. MOTI wonder if they're in there , look .
    MOTthere we go .
    MOT*MOT: what's in there .
    MOTare they panda's clothes ?
    CHIyeah .
  2. CHIyeah .
    MOTit's sweet+corn on the cob .
    MOT*MOT: what's that ?
    CHIxxx .
    CHIno .
  3. CHIxxx .
    CHIno .
    MOT*MOT: what's that you've got in your hand ?
    MOTwhat is it ?
    CHIxxx .
  4. CHIbrumm@o .
    MOToh .
    MOT*MOT: what's that ?
    CHINicole don't know .
    CHIno .
  5. MOTa cabby@c ?
    CHIyeah .
    MOT*MOT: what's a cabby@c ?
    MOTNicole .
    MOTwhat's a cabby@c ?
  6. MOTwhat's a cabby@c ?
    MOTNicole .
    MOT*MOT: what's a cabby@c ?
    CHIthere .
    MOTno .
  7. MOTthere .
    CHIno no bridge .
    MOT*MOT: now what's wrong with it ?
    CHIbridge through there .
    CHIgone now .
  8. CHIthere .
    CHIgone now .
    MOT*MOT: what's gone now ?
    CHIxxx .
    CHIxxx .
  9. CHIno way .
    MOToh .
    MOT*MOT: what's the matter ?
    CHIno .
    MOTjust sit in your box , will you and be quiet .

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. Nicole eng_british_Manchester_II5.31
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/nic15b.chaNicole 2;5.261,696995.31

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. what's9 · 100.0%