PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

2.64 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (573 utterances, 2,275 words searched).

  1. she's going on an aeroplane ,, isn't she ? MOT · eng_british_Manchester_I/becky05a.cha, line 157 · Becky 2;01
  2. shall we have an orange chair ? MOT · eng_british_Manchester_I/becky05a.cha, line 470 · Becky 2;01
  3. an orange one . MOT · eng_british_Manchester_I/becky05a.cha, line 690 · Becky 2;01
  4. and shall we have an orange one ? MOT · eng_british_Manchester_I/becky05a.cha, line 1461 · Becky 2;01
  5. can you see an orange one ? MOT · eng_british_Manchester_I/becky05a.cha, line 1643 · Becky 2;01
  6. can you see an orange one ? MOT · eng_british_Manchester_I/becky05a.cha, line 1647 · Becky 2;01
  1. eng_british_Manchester_I/becky05a.cha, line 157 · Becky, 2;1.24
    CHIaeroplane .
    MOTyeah .
    MOT*MOT: she's going on an aeroplane ,, isn't she ?
    MOTand where's she going on the aeroplane ?
    CHIfly .
  2. eng_british_Manchester_I/becky05a.cha, line 470 · Becky, 2;1.24
    MOT<shall I color> [/] shall I color the chair ?
    CHIyeah .
    MOT*MOT: shall we have an orange chair ?
    CHIyeah .
    CHIfall down .
  3. eng_british_Manchester_I/becky05a.cha, line 690 · Becky, 2;1.24
    MOTuse [//] try a different one .
    CHIorange one .
    MOT*MOT: an orange one .
    MOTyes .
    CHIorange .
  4. eng_british_Manchester_I/becky05a.cha, line 1461 · Becky, 2;1.24
    CHII'll do that [/] that one .
    CHIxxx .
    MOT*MOT: and shall we have an orange one ?
    MOThuh ?
    CHIxxx .
  5. eng_british_Manchester_I/becky05a.cha, line 1643 · Becky, 2;1.24
    MOTno .
    MOTthat's yellow .
    MOT*MOT: can you see an orange one ?
    MOTBecky ?
    MOTcan you see an orange one ?
  6. eng_british_Manchester_I/becky05a.cha, line 1647 · Becky, 2;1.24
    MOTcan you see an orange one ?
    MOTBecky ?
    MOT*MOT: can you see an orange one ?
    CHIyeah .
    MOTwhich one's orange ?

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. Becky eng_british_Manchester_I2.64
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky05a.chaBecky 2;1.242,275662.64

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. an6 · 100.0%