PHPCLANCHILDES with regular expressions

9 matches in 9 utterances

5.11 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (485 utterances, 1,760 words searched).

  1. see them again . INV · eng_british_Manchester_I/becky14a.cha, line 156 · Becky 2;04
  2. where did we see him yesterday ? MOT · eng_british_Manchester_I/becky14a.cha, line 377 · Becky 2;04
  3. you're going to see Nana and Grandpa ? MOT · eng_british_Manchester_I/becky14a.cha, line 764 · Becky 2;04
  4. I see . MOT · eng_british_Manchester_I/becky14a.cha, line 933 · Becky 2;04
  5. I see . MOT · eng_british_Manchester_I/becky14a.cha, line 1201 · Becky 2;04
  6. so what do we say <when we say> [//] when we see two Poppys ? MOT · eng_british_Manchester_I/becky14a.cha, line 1484 · Becky 2;04
  7. and shall I put my last card down and see if it's snap ? MOT · eng_british_Manchester_I/becky14a.cha, line 1676 · Becky 2;04
  8. I'll see if we've got one xxx . MOT · eng_british_Manchester_I/becky14a.cha, line 1869 · Becky 2;04
  9. I see . MOT · eng_british_Manchester_I/becky14a.cha, line 1987 · Becky 2;04
  1. INVhmm ?
    CHIsee them again .
    INV*INV: see them again .
    INVyes .
    MOTmmhm .
  2. CHISanta .
    INVdid he ?
    MOT*MOT: where did we see him yesterday ?
    CHIdon't know .
    MOTcan you remember ?
  3. CHI<I just> [/] um I just go xxx .
    CHIum Nana and Grandpa .
    MOT*MOT: you're going to see Nana and Grandpa ?
    CHImmhm .
    MOTare you ?
  4. MOTdo they ?
    CHImmhm .
    MOT*MOT: I see .
    CHIjust pack .
    CHIhere .
  5. CHIwe find him again .
    MOTwill we ?
    MOT*MOT: I see .
    MOThe's probably under one # of the settees .
    CHInot now .
  6. MOTwhat [/] what are we playing , Becky ?
    CHIwe 0are [*] playing Snap .
    MOT*MOT: so what do we say <when we say> [//] when we see two Poppys ?
    CHIdon't Know .
    MOTwe say Snap .
  7. MOToh dear .
    MOTbless you .
    MOT*MOT: and shall I put my last card down and see if it's snap ?
    CHIyeah .
    MOTor are you going to put one down ?
  8. MOTshould get an elastic band for them , shouldn't we really ?
    MOTput them together .
    MOT*MOT: I'll see if we've got one xxx .
    MOTput them on the table .
    MOTthat's a good girl .
  9. MOTI ripped that one , did I ?
    CHImmhm .
    MOT*MOT: I see .
    CHII been naughty .

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_I5.11
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky14a.chaBecky 2;4.281,760995.11

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. see9 · 100.0%