PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

2.67 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (552 utterances, 2,243 words searched).

  1. give me the camera and I'll take a photo . MOT · eng_british_Manchester_I/becky04a.cha, line 765 · Becky 2;01
  2. go over there and I'll take your photo . MOT · eng_british_Manchester_I/becky04a.cha, line 768 · Becky 2;01
  3. I'll tell you what . MOT · eng_british_Manchester_I/becky04a.cha, line 806 · Becky 2;01
  4. I'll just put that there for now . MOT · eng_british_Manchester_I/becky04a.cha, line 903 · Becky 2;01
  5. <I'll try and do it if you want> [<] . INV · eng_british_Manchester_I/becky04a.cha, line 1339 · Becky 2;01
  6. I'll just put these things down and then we'll get the other box for you . MOT · eng_british_Manchester_I/becky04a.cha, line 1355 · Becky 2;01
  1. CHI&a bit knee .
    MOThe bit my knee , didn't he ?
    MOT*MOT: give me the camera and I'll take a photo .
    MOTgo over there and I'll take your photo .
    MOTready .
  2. MOThe bit my knee , didn't he ?
    MOTgive me the camera and I'll take a photo .
    MOT*MOT: go over there and I'll take your photo .
    MOTready .
    MOT<you say> [//] are you smiling ?
  3. MOTno don't Becky .
    MOTright .
    MOT*MOT: I'll tell you what .
    MOTlet's take the box of his head and see if he'll go away from us .
    MOTcome on Sukie I think that will do .
  4. MOTyou want me to get him out do you ?
    MOThe's in here , isn't he ?
    MOT*MOT: I'll just put that there for now .
    MOTshall we see what's in the other box ?
    CHIxxx .
  5. MOTpardon ?
    MOT<Mummy do it > [>] ?
    INV*INV: <I'll try and do it if you want> [<] .
    MOTwhat do you want me to do , darling ?
    MOT<put it on the table > [>] .
  6. MOTwww .
    CHIyeah .
    MOT*MOT: I'll just put these things down and then we'll get the other box for you .
    INVwho's this then , Becky ?
    CHI&a Ted .

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_I2.67
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky04a.chaBecky 2;1.112,243662.67

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. i'll6 · 100.0%