PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

4.24 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (427 utterances, 1,651 words searched).

  1. now then . MOT · eng_british_Manchester_I/becky12b.cha, line 77 · Becky 2;03
  2. now then . MOT · eng_british_Manchester_I/becky12b.cha, line 125 · Becky 2;03
  3. shall we put froggie back to bed now then ? MOT · eng_british_Manchester_I/becky12b.cha, line 772 · Becky 2;03
  4. what [//] shall we tip these out and then you can go shopping and put some things in the basket ? MOT · eng_british_Manchester_I/becky12b.cha, line 798 · Becky 2;03
  5. okay then . INV · eng_british_Manchester_I/becky12b.cha, line 967 · Becky 2;03
  6. take it off him then . MOT · eng_british_Manchester_I/becky12b.cha, line 1160 · Becky 2;03
  7. let me have a look at it then . MOT · eng_british_Manchester_I/becky12b.cha, line 1729 · Becky 2;03
  1. MOTit's a pig , is it ?
    MOTright .
    MOT*MOT: now then .
    MOTwho else have we got ?
    MOTwho's this , Becky ?
  2. MOTcan you say +...
    CHIxxx .
    MOT*MOT: now then .
    MOTdo you know who this is ?
    MOTcan you think who this is , Becky , look .
  3. CHIit's mine .
    CHIit's mine .
    MOT*MOT: shall we put froggie back to bed now then ?
    CHIxxx .
    CHII want to +...
  4. CHIwhat is it ?
    MOTtell you what , Becky .
    MOT*MOT: what [//] shall we tip these out and then you can go shopping and put some things in the basket ?
    CHIyeah .
    MOTdo you want to do that ?
  5. MOTdo you want one ?
    INVmmhm .
    INV*INV: okay then .
    INVthank you .
    INVshall I pick one up ?
  6. CHIit's mine .
    CHIit's mine .
    MOT*MOT: take it off him then .
    MOTtake it off him .
    MOTI think he's probably had enough sandwich actually .
  7. CHIdraw doggie .
    CHIdraw this one [*] dog .
    MOT*MOT: let me have a look at it then .
    MOTcan't draw it if I don't have a look at it .
    MOTwww .

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_I4.24
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky12b.chaBecky 2;3.271,651774.24

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. then7 · 100.0%