PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

3.82 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (450 utterances, 1,570 words searched).

  1. is Pongo on the phone ? MOT · eng_british_Manchester_I/anne19b.cha, line 1063 · Anne 2;04
  2. go and talk to Pongo then . MOT · eng_british_Manchester_I/anne19b.cha, line 1067 · Anne 2;04
  3. <what did> [/] what did Pongo have to do to Lucky ? MOT · eng_british_Manchester_I/anne19b.cha, line 1239 · Anne 2;04
  4. so what did Pongo do ? MOT · eng_british_Manchester_I/anne19b.cha, line 1250 · Anne 2;04
  5. so what did Pongo do ? MOT · eng_british_Manchester_I/anne19b.cha, line 1261 · Anne 2;04
  6. what did Pongo do ? MOT · eng_british_Manchester_I/anne19b.cha, line 1263 · Anne 2;04
  1. eng_british_Manchester_I/anne19b.cha, line 1063 · Anne, 2;4.12
    MOTis it Horace ?
    MOTis Horace on the phone .
    MOT*MOT: is Pongo on the phone ?
    CHIyeah .
    MOTgo and talk to Pongo then .
  2. eng_british_Manchester_I/anne19b.cha, line 1067 · Anne, 2;4.12
    MOTis Pongo on the phone ?
    CHIyeah .
    MOT*MOT: go and talk to Pongo then .
    CHIhello .
    CHIhello , Pongo .
  3. eng_british_Manchester_I/anne19b.cha, line 1239 · Anne, 2;4.12
    MOTRolly .
    MOTLucy and Rolly .
    MOT*MOT: <what did> [/] what did Pongo have to do to Lucky ?
    MOTcan you remember ?
    MOTwhen they were in the snow ?
  4. eng_british_Manchester_I/anne19b.cha, line 1250 · Anne, 2;4.12
    CHIbit cold .
    MOThe was a bit cold .
    MOT*MOT: so what did Pongo do ?
    CHIand little one said +"/.
    CHI+" oh I'm getting cold .
  5. eng_british_Manchester_I/anne19b.cha, line 1261 · Anne, 2;4.12
    MOTthat's right .
    MOTlittle one said I'm getting cold .
    MOT*MOT: so what did Pongo do ?
    MOTwhat did Pongo do ?
    CHIdon't want to tell you .
  6. eng_british_Manchester_I/anne19b.cha, line 1263 · Anne, 2;4.12
    MOTlittle one said I'm getting cold .
    MOTso what did Pongo do ?
    MOT*MOT: what did Pongo do ?
    CHIdon't want to tell you .
    CHIwant to put the video on .

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. Anne eng_british_Manchester_I3.82
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/anne19b.chaAnne 2;4.121,570663.82

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. pongo6 · 100.0%