PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

4.36 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (442 utterances, 1,606 words searched).

  1. yeah . INV · eng_british_Manchester_I/becky13a.cha, line 70 · Becky 2;04
  2. yeah ? MOT · eng_british_Manchester_I/becky13a.cha, line 228 · Becky 2;04
  3. yeah . MOT · eng_british_Manchester_I/becky13a.cha, line 569 · Becky 2;04
  4. yeah . MOT · eng_british_Manchester_I/becky13a.cha, line 874 · Becky 2;04
  5. yeah ? MOT · eng_british_Manchester_I/becky13a.cha, line 990 · Becky 2;04
  6. yeah . MOT · eng_british_Manchester_I/becky13a.cha, line 1160 · Becky 2;04
  7. yeah . MOT · eng_british_Manchester_I/becky13a.cha, line 1200 · Becky 2;04
  1. eng_british_Manchester_I/becky13a.cha, line 70 · Becky, 2;4.19
    INVonly Beckys .
    CHIonly Beckys .
    INV*INV: yeah .
    MOTare you ready ?
    CHIlook at me .
  2. eng_british_Manchester_I/becky13a.cha, line 228 · Becky, 2;4.19
    MOTcan we just move the horse now ?
    MOTshall we put him back in his stable ?
    MOT*MOT: yeah ?
    CHImmhm .
    CHII 0am putting him back in stable .
  3. eng_british_Manchester_I/becky13a.cha, line 569 · Becky, 2;4.19
    INVfire+guard .
    MOTmmhm .
    MOT*MOT: yeah .
    CHIyeah .
    CHIdon't put it there .
  4. eng_british_Manchester_I/becky13a.cha, line 874 · Becky, 2;4.19
    MOTstand her up like you do when you get your dresses on .
    MOTI'll pull it down over her bottom first .
    MOT*MOT: yeah .
    MOT<is that> [/] is that easier ?
    CHImmhm .
  5. eng_british_Manchester_I/becky13a.cha, line 990 · Becky, 2;4.19
    MOTthat could be her bath , couldn't it ?
    CHImmhm .
    MOT*MOT: yeah ?
    CHIthis is your bath .
    CHIneed a [*] soap please .
  6. eng_british_Manchester_I/becky13a.cha, line 1160 · Becky, 2;4.19
    CHIyeah .
    CHIthis ?
    MOT*MOT: yeah .
    CHIthis is a dressing gown .
    MOTyes .
  7. eng_british_Manchester_I/becky13a.cha, line 1200 · Becky, 2;4.19
    MOTwhoops .
    MOTxxx .
    MOT*MOT: yeah .
    MOTnow the other leg .
    MOTput the other through them as well .

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_I4.36
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky13a.chaBecky 2;4.191,606774.36

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. yeah7 · 100.0%