PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

4.12 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (459 utterances, 1,698 words searched).

  1. another big saucepan . MOT · eng_british_Manchester_I/becky11b.cha, line 200 · Becky 2;03
  2. you want another biscuit ? MOT · eng_british_Manchester_I/becky11b.cha, line 949 · Becky 2;03
  3. why do you want another biscuit ? MOT · eng_british_Manchester_I/becky11b.cha, line 957 · Becky 2;03
  4. can you find another piece of fence then for me please . MOT · eng_british_Manchester_I/becky11b.cha, line 1011 · Becky 2;03
  5. there's another gate , look . MOT · eng_british_Manchester_I/becky11b.cha, line 1486 · Becky 2;03
  6. there was another one used to go on top as well . MOT · eng_british_Manchester_I/becky11b.cha, line 1577 · Becky 2;03
  7. I thought there might be another man . MOT · eng_british_Manchester_I/becky11b.cha, line 1600 · Becky 2;03
  1. MOTno no .
    MOTthere should be more .
    MOT*MOT: another big saucepan .
    CHIhere 0is [*] another big saucepan .
    CHIhere big saucepan .
  2. MOTyou monster .
    CHII want a biscuit again .
    MOT*MOT: you want another biscuit ?
    CHIyeah .
    MOTdo you ?
  3. MOTdo you ?
    CHIyeah .
    MOT*MOT: why do you want another biscuit ?
    CHIyeah .
    CHIdo you eat it ?
  4. CHIwant a gate .
    MOTyou want a gate ?
    MOT*MOT: can you find another piece of fence then for me please .
    MOTI'll make you a gate .
    CHIfound a one .
  5. MOTit's a fence .
    MOTit's not a gate .
    MOT*MOT: there's another gate , look .
    CHIopen gate .
    CHIshut gate .
  6. CHImans .
    MOThere .
    MOT*MOT: there was another one used to go on top as well .
    MOTxxx .
    CHIxxx .
  7. CHIxxx .
    CHIwhat 0are [*] you doing ?
    MOT*MOT: I thought there might be another man .
    MOTI can't remember .
    MOTthere's a banana there .

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_I4.12
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky11b.chaBecky 2;3.201,698774.12

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. another7 · 100.0%