PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

3.37 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (550 utterances, 2,077 words searched).

  1. if that's red I think you need to go to see an optician . MOT · eng_british_Manchester_II/nic22a.cha, line 674 · Nicole 2;07
  2. I can see the trainers . MOT · eng_british_Manchester_II/nic22a.cha, line 775 · Nicole 2;07
  3. see how many you have . MOT · eng_british_Manchester_II/nic22a.cha, line 1186 · Nicole 2;07
  4. like you see Mummy do . MOT · eng_british_Manchester_II/nic22a.cha, line 1293 · Nicole 2;07
  5. come and see what I've done . MOT · eng_british_Manchester_II/nic22a.cha, line 1433 · Nicole 2;07
  6. see how many shapes we can make . MOT · eng_british_Manchester_II/nic22a.cha, line 1646 · Nicole 2;07
  7. let's see if you can guess what shape this is that Mummy (i)s doing now . MOT · eng_british_Manchester_II/nic22a.cha, line 1704 · Nicole 2;07
  1. CHIred .
    MOTwell .
    MOT*MOT: if that's red I think you need to go to see an optician .
    MOTwhat color is it ?
    CHIbrown .
  2. CHImy trainers .
    CHImy trainers .
    MOT*MOT: I can see the trainers .
    MOTcan you ?
    CHIno .
  3. MOTcount them .
    MOTcount your balls .
    MOT*MOT: see how many you have .
    CHIone two three four .
    MOTlook at them and point to them and count them .
  4. MOTlet me pass it to you .
    MOTreally push it in like that .
    MOT*MOT: like you see Mummy do .
    MOTyou make your pie .
    MOTlovely .
  5. CHIcan't get Nicole xxx .
    MOTcan't you ?
    MOT*MOT: come and see what I've done .
    CHIoh .
    MOTwww .
  6. MOTcome on then .
    CHIoh .
    MOT*MOT: see how many shapes we can make .
    MOTwhat shape's that ?
    CHIa ring .
  7. MOTshush .
    CHIxxx .
    MOT*MOT: let's see if you can guess what shape this is that Mummy (i)s doing now .
    CHINicole do it .
    CHIno .

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. Nicole eng_british_Manchester_II3.37
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/nic22a.chaNicole 2;7.122,077773.37

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. see7 · 100.0%