PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

2.88 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (618 utterances, 2,080 words searched).

  1. was that the problem ? INV · eng_british_Manchester_I/becky03a.cha, line 178 · Becky 2;00
  2. and sugar , was that ? MOT · eng_british_Manchester_I/becky03a.cha, line 283 · Becky 2;00
  3. was that sugar ? MOT · eng_british_Manchester_I/becky03a.cha, line 289 · Becky 2;00
  4. who [/] who was it ? MOT · eng_british_Manchester_I/becky03a.cha, line 409 · Becky 2;00
  5. was it Grandma ? MOT · eng_british_Manchester_I/becky03a.cha, line 413 · Becky 2;00
  6. was it yesterday ? MOT · eng_british_Manchester_I/becky03a.cha, line 421 · Becky 2;00
  1. eng_british_Manchester_I/becky03a.cha, line 178 · Becky, 2;0.28
    INVis that your chair , Becky ?
    INVright .
    INV*INV: was that the problem ?
    MOTyou usually sit in the other chair as well though , don't you ?
    MOTdo you want Tiny_Tears to sit in the other chair ?
  2. eng_british_Manchester_I/becky03a.cha, line 283 · Becky, 2;0.28
    CHIxxx .
    MOTthank you .
    MOT*MOT: and sugar , was that ?
    CHIno .
    MOThmm ?
  3. eng_british_Manchester_I/becky03a.cha, line 289 · Becky, 2;0.28
    CHIno .
    MOThmm ?
    MOT*MOT: was that sugar ?
    CHIno .
    CHIhold it .
  4. eng_british_Manchester_I/becky03a.cha, line 409 · Becky, 2;0.28
    MOThmm ?
    CHIxxx .
    MOT*MOT: who [/] who was it ?
    CHIxxx .
    MOTwas it Grandma ?
  5. eng_british_Manchester_I/becky03a.cha, line 413 · Becky, 2;0.28
    MOTwho [/] who was it ?
    CHIxxx .
    MOT*MOT: was it Grandma ?
    CHIyes .
    MOTyes .
  6. eng_british_Manchester_I/becky03a.cha, line 421 · Becky, 2;0.28
    MOTyes .
    MOTand when did we get this ?
    MOT*MOT: was it yesterday ?
    CHIyeah .
    MOTwhen we saw Grandma ?

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_I2.88
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky03a.chaBecky 2;0.282,080662.88

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. was6 · 100.0%