PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

3.99 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (384 utterances, 1,504 words searched).

  1. or is it a tiger ? MOT · eng_british_Manchester_II/john02b.cha, line 446 · John 1;11
  2. do you think it's a lion or a tiger ? MOT · eng_british_Manchester_II/john02b.cha, line 448 · John 1;11
  3. so perhaps it's a tiger . MOT · eng_british_Manchester_II/john02b.cha, line 461 · John 1;11
  4. are you putting the [/] the tiger on the seesaw ? MOT · eng_british_Manchester_II/john02b.cha, line 590 · John 1;11
  5. is tiger biting dolly ? MOT · eng_british_Manchester_II/john02b.cha, line 783 · John 1;11
  6. I think we should find some food for tiger . MOT · eng_british_Manchester_II/john02b.cha, line 793 · John 1;11
  1. MOToh what's that then ?
    CHIlion .
    MOT*MOT: or is it a tiger ?
    MOTdo you think it's a lion or a tiger ?
    MOTwell they're both a yellow color , aren't they ?
  2. CHIlion .
    MOTor is it a tiger ?
    MOT*MOT: do you think it's a lion or a tiger ?
    MOTwell they're both a yellow color , aren't they ?
    MOTlions and tigers .
  3. MOTbut look .
    MOTthis one's got stripes on it .
    MOT*MOT: so perhaps it's a tiger .
    CHIMummy giraffe .
    MOToh can I have the raff [/] giraffe .
  4. CHIthere's the seesaw lion .
    MOTaah .
    MOT*MOT: are you putting the [/] the tiger on the seesaw ?
    CHIdown .
    MOTshall we put the baby +//.
  5. MOTgently with dolly .
    MOToh dear .
    MOT*MOT: is tiger biting dolly ?
    MOToh .
    CHIget it .
  6. MOTow .
    MOTbiting Mummy .
    MOT*MOT: I think we should find some food for tiger .
    MOThow about this meat ?
    MOTshall we give him this to eat ?

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. John eng_british_Manchester_II3.99
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/john02b.chaJohn 1;11.291,504663.99

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. tiger6 · 100.0%