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. find a picture then and we'll color it in . MOT · eng_british_Manchester_I/becky05a.cha, line 311 · Becky 2;01
  2. and what's he doing in this picture ? MOT · eng_british_Manchester_I/becky05a.cha, line 356 · Becky 2;01
  3. shall we draw this picture ? MOT · eng_british_Manchester_I/becky05a.cha, line 378 · Becky 2;01
  4. what's he doing in this picture ? MOT · eng_british_Manchester_I/becky05a.cha, line 525 · Becky 2;01
  5. and what's he doing in this picture ? MOT · eng_british_Manchester_I/becky05a.cha, line 548 · Becky 2;01
  6. he's shopping in this picture . MOT · eng_british_Manchester_I/becky05a.cha, line 804 · Becky 2;01
  1. eng_british_Manchester_I/becky05a.cha, line 311 · Becky, 2;1.24
    MOTyou colored that , did you ?
    INVthat's good .
    MOT*MOT: find a picture then and we'll color it in .
    CHInaughty .
    CHInaughty .
  2. eng_british_Manchester_I/becky05a.cha, line 356 · Becky, 2;1.24
    CHImy drawing that .
    MOTthat's your drawing .
    MOT*MOT: and what's he doing in this picture ?
    MOTwhat's he doing ?
    CHIdrawing .
  3. eng_british_Manchester_I/becky05a.cha, line 378 · Becky, 2;1.24
    CHIyeah .
    CHIyeah .
    MOT*MOT: shall we draw this picture ?
    CHIyeah .
    MOTokay .
  4. eng_british_Manchester_I/becky05a.cha, line 525 · Becky, 2;1.24
    MOTright .
    MOTwhat's he doing ?
    MOT*MOT: what's he doing in this picture ?
    CHIum have cup of tea .
    MOThe's having a cup of tea , is he ?
  5. eng_british_Manchester_I/becky05a.cha, line 548 · Becky, 2;1.24
    MOTyeah ?
    CHIyeah .
    MOT*MOT: and what's he doing in this picture ?
    CHIdoing .
    MOTit says +"/.
  6. eng_british_Manchester_I/becky05a.cha, line 804 · Becky, 2;1.24
    MOTdo this one .
    CHIyeah .
    MOT*MOT: he's shopping in this picture .
    CHIshopping in picture .
    MOTshall we do something red ?

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. picture6 · 100.0%