PHPCLANCHILDES with regular expressions

8 matches in 8 utterances

3.90 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (616 utterances, 2,050 words searched).

  1. then you have to put it <on that> [/] on that cob . MOT · eng_british_Manchester_II/joel09b.cha, line 20 · Joel 2;01
  2. let's have a look then . MOT · eng_british_Manchester_II/joel09b.cha, line 169 · Joel 2;01
  3. and then usually I xxx . MOT · eng_british_Manchester_II/joel09b.cha, line 467 · Joel 2;01
  4. I shalln't do it again then . MOT · eng_british_Manchester_II/joel09b.cha, line 515 · Joel 2;01
  5. are you going to make me a sandwich then or what ? MOT · eng_british_Manchester_II/joel09b.cha, line 531 · Joel 2;01
  6. then where ? MOT · eng_british_Manchester_II/joel09b.cha, line 914 · Joel 2;01
  7. wipe her bottom then . INV · eng_british_Manchester_II/joel09b.cha, line 1442 · Joel 2;01
  8. <take it off then> [<] . INV · eng_british_Manchester_II/joel09b.cha, line 1637 · Joel 2;01
  1. CHIthere burger .
    MOTthat [/] that's the beef+burger .
    MOT*MOT: then you have to put it <on that> [/] on that cob .
    CHIthere .
    CHIxxx there .
  2. CHIyeah .
    MOToh .
    MOT*MOT: let's have a look then .
    MOTwhat shall +//.
    MOTshall we make a zoo ?
  3. MOTbest thing Mummy's ever made with bricks .
    MOTyour Daddy's better with the bricks , isn't he ?
    MOT*MOT: and then usually I xxx .
    MOTwww .
    CHInot very well .
  4. MOTno ?
    CHIno like it .
    MOT*MOT: I shalln't do it again then .
    CHIoh .
    CHIxxx .
  5. MOTdon't break it .
    CHIxxx .
    MOT*MOT: are you going to make me a sandwich then or what ?
    CHIall gone .
    MOTwhat ?
  6. CHIxxx mouth .
    MOTin your mouth .
    MOT*MOT: then where ?
    MOTis it a big fat tummy ?
    MOToh .
  7. INVoh .
    INVI see .
    INV*INV: wipe her bottom then .
    INVyou need a cloth , don't you ?
    MOTwhere's those +//.
  8. CHIno like that on .
    MOTyou don't <like that on> [>] ?
    INV*INV: <take it off then> [<] .
    MOToh .
    CHIxxx that on as well .

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. Joel eng_british_Manchester_II3.90
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/joel09b.chaJoel 2;1.232,050883.90

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. then8 · 100.0%