PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

3.35 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (604 utterances, 2,087 words searched).

  1. I cut it when I was washing up on a knife . INV · eng_british_Manchester_II/joel21a.cha, line 54 · Joel 2;06
  2. it was a bit silly , wasn't it ? INV · eng_british_Manchester_II/joel21a.cha, line 57 · Joel 2;06
  3. and were [= actually says was] you a good boy ? MOT · eng_british_Manchester_II/joel21a.cha, line 663 · Joel 2;06
  4. that was lovely . MOT · eng_british_Manchester_II/joel21a.cha, line 680 · Joel 2;06
  5. um which one was it on xxx . MOT · eng_british_Manchester_II/joel21a.cha, line 1011 · Joel 2;06
  6. I was just trying to see if we'd recorded anything . MOT · eng_british_Manchester_II/joel21a.cha, line 1105 · Joel 2;06
  7. was this a good idea , me+thinks . MOT · eng_british_Manchester_II/joel21a.cha, line 1324 · Joel 2;06
  1. INVyes .
    INVI have got poorly finger .
    INV*INV: I cut it when I was washing up on a knife .
    INVit was a bit silly , wasn't it ?
    CHIyeah .
  2. INVI have got poorly finger .
    INVI cut it when I was washing up on a knife .
    INV*INV: it was a bit silly , wasn't it ?
    CHIyeah .
    INVmmhm .
  3. MOTis this what they did to you in the hairdressers ?
    CHIyeah .
    MOT*MOT: and were [= actually says was] you a good boy ?
    MOTdid you sit still ?
    MOTbecause we don't know , do we ?
  4. CHIthere .
    CHIall done .
    MOT*MOT: that was lovely .
    MOTwhat else have you got ?
    CHIupstairs .
  5. MOTdon't you dare pull that .
    MOTxxx .
    MOT*MOT: um which one was it on xxx .
    CHIxxx .
    CHINoddy say [*] Toytown .
  6. CHIno .
    CHIno , mummy .
    MOT*MOT: I was just trying to see if we'd recorded anything .
    CHIxxx .
    MOTlisten .
  7. MOToh .
    MOToh dear .
    MOT*MOT: was this a good idea , me+thinks .
    MOToh .
    MOTdon't throw things please .

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. Joel eng_british_Manchester_II3.35
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/joel21a.chaJoel 2;6.052,087773.35

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. was7 · 100.0%