PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

3.34 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (564 utterances, 2,097 words searched).

  1. don't you think so ? MOT · eng_british_Manchester_II/nic04b.cha, line 54 · Nicole 2;01
  2. so +... MOT · eng_british_Manchester_II/nic04b.cha, line 215 · Nicole 2;01
  3. I'm going to cover her up so she's nice and warm . MOT · eng_british_Manchester_II/nic04b.cha, line 517 · Nicole 2;01
  4. just lay it on her so she's nice and warm . MOT · eng_british_Manchester_II/nic04b.cha, line 534 · Nicole 2;01
  5. come on from round there so Rachel can see you . MOT · eng_british_Manchester_II/nic04b.cha, line 1004 · Nicole 2;01
  6. that one off so it's level . MOT · eng_british_Manchester_II/nic04b.cha, line 1065 · Nicole 2;01
  7. <so he can eat some grass> [>] . INV · eng_british_Manchester_II/nic04b.cha, line 1511 · Nicole 2;01
  1. MOTdon't you think that tiger looks very much like our Molly ?
    CHIyeah .
    MOT*MOT: don't you think so ?
    MOTwhat's that ?
    MOTdo you know what that is ?
  2. MOTthere's the bun .
    MOTright .
    MOT*MOT: so +...
    MOTwe're gonna [: going to] make a beef+burger , aren't we ?
    MOTput your lettuce on .
  3. CHIno .
    CHIno .
    MOT*MOT: I'm going to cover her up so she's nice and warm .
    CHIno .
    MOTno ?
  4. MOTno don't .
    MOTbecause you'll disturb her .
    MOT*MOT: just lay it on her so she's nice and warm .
    MOTthat's it .
    MOTlovely .
  5. MOTI can see you .
    MOTcome on from round there because Rachel can't see you .
    MOT*MOT: come on from round there so Rachel can see you .
    MOTcome on .
    MOTcan you ?
  6. MOTthat wants to go +//.
    MOTwhoopsadaisy doo .
    MOT*MOT: that one off so it's level .
    CHIokay .
    CHINicole .
  7. INVwhat about in that bit of field ?
    MOTlook there , look .
    INV*INV: <so he can eat some grass> [>] .
    MOTxxx [<] .
    CHIokay .

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. Nicole eng_british_Manchester_II3.34
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/nic04b.chaNicole 2;1.222,097773.34

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. so7 · 100.0%