PHPCLANCHILDES with regular expressions

7 matches in 6 utterances

3.83 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (502 utterances, 1,827 words searched).

  1. <and her> [/] and her blouse . MOT · eng_british_Manchester_II/nic17b.cha, line 256 · Nicole 2;06
  2. <and her> [/] and her blouse . MOT · eng_british_Manchester_II/nic17b.cha, line 256 · Nicole 2;06
  3. would you like mummy to put those on her ? MOT · eng_british_Manchester_II/nic17b.cha, line 258 · Nicole 2;06
  4. what do you want mummy to put on her then ? MOT · eng_british_Manchester_II/nic17b.cha, line 277 · Nicole 2;06
  5. want her to put the trousers on or the dress on ? MOT · eng_british_Manchester_II/nic17b.cha, line 290 · Nicole 2;06
  6. what do you want me to put on her then ? MOT · eng_british_Manchester_II/nic17b.cha, line 339 · Nicole 2;06
  7. are you going to help Caroline put her things away , do you think ? MOT · eng_british_Manchester_II/nic17b.cha, line 1188 · Nicole 2;06
  1. CHItrousers .
    INVtrousers .
    MOT*MOT: <and her> [/] and her blouse .
    MOTwould you like mummy to put those on her ?
    CHIxxx .
  2. INVtrousers .
    MOT<and her> [/] and her blouse .
    MOT*MOT: would you like mummy to put those on her ?
    CHIxxx .
    CHIthat ?
  3. CHIgherkin there .
    MOTright .
    MOT*MOT: what do you want mummy to put on her then ?
    CHIthat one there .
    MOTthat one ?
  4. CHIum her [*] wear that there .
    CHIwear this there .
    MOT*MOT: want her to put the trousers on or the dress on ?
    CHItrousers on .
    INVwww .
  5. CHInobody .
    MOTwell .
    MOT*MOT: what do you want me to put on her then ?
    CHInobody .
    MOTnothing ?
  6. INVmaking a bed ?
    MOTmaking a bed .
    MOT*MOT: are you going to help Caroline put her things away , do you think ?
    CHIyeah .
    CHIit 0is [*] too late .

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_II3.83
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/nic17b.chaNicole 2;6.161,827673.83

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. her7 · 100.0%