PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

4.12 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (459 utterances, 1,698 words searched).

  1. who's in the bird's nest ? MOT · eng_british_Manchester_I/becky11b.cha, line 349 · Becky 2;03
  2. who's that ? MOT · eng_british_Manchester_I/becky11b.cha, line 489 · Becky 2;03
  3. who's this , Becky ? MOT · eng_british_Manchester_I/becky11b.cha, line 999 · Becky 2;03
  4. who's this ? MOT · eng_british_Manchester_I/becky11b.cha, line 1181 · Becky 2;03
  5. who's this ? MOT · eng_british_Manchester_I/becky11b.cha, line 1193 · Becky 2;03
  6. who's this ? MOT · eng_british_Manchester_I/becky11b.cha, line 1293 · Becky 2;03
  7. who's missing ? MOT · eng_british_Manchester_I/becky11b.cha, line 1431 · Becky 2;03
  1. eng_british_Manchester_I/becky11b.cha, line 349 · Becky, 2;3.20
    MOTpardon ?
    CHIwho's in the birdie's nest ?
    MOT*MOT: who's in the bird's nest ?
    CHIyeah .
    MOTis that what you find in bird's nests ?
  2. eng_british_Manchester_I/becky11b.cha, line 489 · Becky, 2;3.20
    MOTxxx .
    MOTno .
    MOT*MOT: who's that ?
    CHIxxx .
    MOTcan I have this one ?
  3. eng_british_Manchester_I/becky11b.cha, line 999 · Becky, 2;3.20
    CHIhere you are .
    MOToh thank you .
    MOT*MOT: who's this , Becky ?
    CHIwho ?
    MOTwhere does a hippo live ?
  4. eng_british_Manchester_I/becky11b.cha, line 1181 · Becky, 2;3.20
    MOTwww .
    MOTlet's have a look what we can find .
    MOT*MOT: who's this ?
    CHIa tiger .
    MOTit's who ?
  5. eng_british_Manchester_I/becky11b.cha, line 1193 · Becky, 2;3.20
    MOTbaby , isn't it ?
    MOToh look who this is , Becky .
    MOT*MOT: who's this ?
    CHIthat's a baby tiger .
    MOTbaby tiger .
  6. eng_british_Manchester_I/becky11b.cha, line 1293 · Becky, 2;3.20
    CHIwhy ?
    MOTlook , Becky .
    MOT*MOT: who's this ?
    CHIit's a tiger .
    MOTyes .
  7. eng_british_Manchester_I/becky11b.cha, line 1431 · Becky, 2;3.20
    MOToh .
    MOTwho do you think I've got here ?
    MOT*MOT: who's missing ?
    MOTdo you know ?
    CHIno .

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. Becky eng_british_Manchester_I4.12
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky11b.chaBecky 2;3.201,698774.12

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. who's7 · 100.0%