PHPCLANCHILDES with regular expressions

5 matches in 4 utterances

4.06 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (336 utterances, 1,231 words searched).

  1. tell me all about your new shoes . MOT · eng_USA_Brown/sarah023.cha, line 124 · Sarah 2;07
  2. what kind o(f) shoes ? MOT · eng_USA_Brown/sarah023.cha, line 131 · Sarah 2;07
  3. tap+shoes ! MOT · eng_USA_Brown/sarah023.cha, line 135 · Sarah 2;07
  4. <her tap shoes> [//] # do you like your tap shoes Mummy bought you # huh ? MOT · eng_USA_Brown/sarah023.cha, line 141 · Sarah 2;07
  5. <her tap shoes> [//] # do you like your tap shoes Mummy bought you # huh ? MOT · eng_USA_Brown/sarah023.cha, line 141 · Sarah 2;07
  1. MOThuh ?
    MOTum .
    MOT*MOT: tell me all about your new shoes .
    CHImy new shoes .
    MOT<what's a> [//] # what do you call them # your new what ?
  2. CHImy new shoes .
    MOT<what's a> [//] # what do you call them # your new what ?
    MOT*MOT: what kind o(f) shoes ?
    CHInew shoes .
    MOTtap+shoes !
  3. MOTwhat kind o(f) shoes ?
    CHInew shoes .
    MOT*MOT: tap+shoes !
    CHItap shoes .
    MOTyeah .
  4. CHItap shoes .
    MOTyeah .
    MOT*MOT: <her tap shoes> [//] # do you like your tap shoes Mummy bought you # huh ?
    CHI0 .
    MOTaren't you gonna say anything ?

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. Sarah eng_USA_Brown4.06
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah023.chaSarah 2;7.281,231454.06

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. shoes5 · 100.0%