PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

5.21 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (370 utterances, 1,344 words searched).

  1. do you want to see what's in there ? INV · eng_british_Manchester_II/john01b.cha, line 15 · John 1;11
  2. no I don't think we need to see that . MOT · eng_british_Manchester_II/john01b.cha, line 1152 · John 1;11
  3. do you want to see what's in the bag ? MOT · eng_british_Manchester_II/john01b.cha, line 1249 · John 1;11
  4. in the park when we go and see the diggers . MOT · eng_british_Manchester_II/john01b.cha, line 1275 · John 1;11
  5. mmhm I'll see if I can adjust it a bit . MOT · eng_british_Manchester_II/john01b.cha, line 1302 · John 1;11
  6. I'm excited myself to see what's gonna [: going to] come out . MOT · eng_british_Manchester_II/john01b.cha, line 1336 · John 1;11
  7. see if he's got a willie . MOT · eng_british_Manchester_II/john01b.cha, line 1362 · John 1;11
  1. CHIthere's a bag .
    CHIa book .
    INV*INV: do you want to see what's in there ?
    CHIoh .
    CHIwhat 0is [*] in the bag .
  2. MOTnow choose another dress .
    CHIwillie .
    MOT*MOT: no I don't think we need to see that .
    MOThow about choosing another dress ?
    MOTyou want this off as well ?
  3. MOTJohn .
    MOTthere's a bag here for you .
    MOT*MOT: do you want to see what's in the bag ?
    MOTwhat's in the bag ?
    CHIin bag .
  4. MOTit's a little bit big .
    MOTit's like the workmen wear , isn't it ?
    MOT*MOT: in the park when we go and see the diggers .
    MOTall the workmen wear hats like that .
    CHIMummy hat .
  5. CHIbig hat .
    CHIbig hat .
    MOT*MOT: mmhm I'll see if I can adjust it a bit .
    CHIbig hat .
    MOTit says big boss on the front .
  6. MOTwhat else is in your bag , John ?
    MOTgo and have a look .
    MOT*MOT: I'm excited myself to see what's gonna [: going to] come out .
    MOToh: .
    CHIpanda .
  7. MOTokay .
    MOTtake the clothes off .
    MOT*MOT: see if he's got a willie .
    MOTno .
    MOTno willie on that one .

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. John eng_british_Manchester_II5.21
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/john01b.chaJohn 1;11.151,344775.21

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. see7 · 100.0%