PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

4.08 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (437 utterances, 1,470 words searched).

  1. I have to take this . INV · eng_british_Manchester_II/nic34b.cha, line 830 · Nicole 3;00
  2. let me move # this out . MOT · eng_british_Manchester_II/nic34b.cha, line 963 · Nicole 3;00
  3. and this +/. MOT · eng_british_Manchester_II/nic34b.cha, line 973 · Nicole 3;00
  4. are you going to make this coffee ? MOT · eng_british_Manchester_II/nic34b.cha, line 1286 · Nicole 3;00
  5. are you going to make this coffee ? MOT · eng_british_Manchester_II/nic34b.cha, line 1290 · Nicole 3;00
  6. do you leave it to cool on this bed table ? INV · eng_british_Manchester_II/nic34b.cha, line 1341 · Nicole 3;00
  1. eng_british_Manchester_II/nic34b.cha, line 830 · Nicole, 3;0.10
    CHIyeah .
    CHIand you have to take that .
    INV*INV: I have to take this .
    CHIand you have to hold that .
    INVokay .
  2. eng_british_Manchester_II/nic34b.cha, line 963 · Nicole, 3;0.10
    CHIput that there .
    MOTwww .
    MOT*MOT: let me move # this out .
    MOTthat [/] that's it .
    MOTwww .
  3. eng_british_Manchester_II/nic34b.cha, line 973 · Nicole, 3;0.10
    MOTwww .
    MOTand they're all things you don't play with .
    MOT*MOT: and this +/.
    CHINicole want the # thingy .
    CHIwhere 0is [*] the thing to play with .
  4. eng_british_Manchester_II/nic34b.cha, line 1286 · Nicole, 3;0.10
    MOToh .
    MOTalright then .
    MOT*MOT: are you going to make this coffee ?
    CHIwhat ?
    MOTare you going to make this coffee ?
  5. eng_british_Manchester_II/nic34b.cha, line 1290 · Nicole, 3;0.10
    MOTare you going to make this coffee ?
    CHIwhat ?
    MOT*MOT: are you going to make this coffee ?
    CHIput it in um # that one ?
    INVokay .
  6. eng_british_Manchester_II/nic34b.cha, line 1341 · Nicole, 3;0.10
    CHINicole get it when it's cooled down .
    INVoh .
    INV*INV: do you leave it to cool on this bed table ?
    CHIhere .
    INVokay .

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_II4.08
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/nic34b.chaNicole 3;0.101,470664.08

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. this6 · 100.0%