PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

2.21 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (452 utterances, 1,809 words searched).

  1. you haven't shown Caroline your [/] your scales that you've acquired and how they… MOT · eng_british_Manchester_II/nic26a.cha, line 919 · Nicole 2;09
  2. you've got to put them and make them the same , haven't you to balance . MOT · eng_british_Manchester_II/nic26a.cha, line 987 · Nicole 2;09
  3. I've got to sit up now , haven't I ? MOT · eng_british_Manchester_II/nic26a.cha, line 1111 · Nicole 2;09
  4. because you haven't got a lot of patience , have you , Nicole ? MOT · eng_british_Manchester_II/nic26a.cha, line 1637 · Nicole 2;09
  1. eng_british_Manchester_II/nic26a.cha, line 919 · Nicole, 2;9.17
    CHIxxx .
    CHInot done now .
    MOT*MOT: you haven't shown Caroline your [/] your scales that you've acquired and how they work .
    MOTdo you think Caroline knows how scales work ?
    CHIscales ?
  2. eng_british_Manchester_II/nic26a.cha, line 987 · Nicole, 2;9.17
    CHIno .
    MOTno .
    MOT*MOT: you've got to put them and make them the same , haven't you to balance .
    MOTis that right .
    CHIyeah .
  3. eng_british_Manchester_II/nic26a.cha, line 1111 · Nicole, 2;9.17
    MOToh right .
    MOTwell .
    MOT*MOT: I've got to sit up now , haven't I ?
    CHIno .
    MOTyes .
  4. eng_british_Manchester_II/nic26a.cha, line 1637 · Nicole, 2;9.17
    CHIoh .
    CHIxxx .
    MOT*MOT: because you haven't got a lot of patience , have you , Nicole ?
    MOToh .
    MOTis toast ready ?

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_II2.21
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/nic26a.chaNicole 2;9.171,809442.21

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. haven't4 · 100.0%