PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

3.38 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (528 utterances, 2,071 words searched).

  1. mmhm . MOT · eng_british_Manchester_II/nic27b.cha, line 60 · Nicole 2;10
  2. mmhm . MOT · eng_british_Manchester_II/nic27b.cha, line 163 · Nicole 2;10
  3. mmhm . MOT · eng_british_Manchester_II/nic27b.cha, line 338 · Nicole 2;10
  4. mmhm . MOT · eng_british_Manchester_II/nic27b.cha, line 566 · Nicole 2;10
  5. mmhm . MOT · eng_british_Manchester_II/nic27b.cha, line 588 · Nicole 2;10
  6. mmhm . MOT · eng_british_Manchester_II/nic27b.cha, line 953 · Nicole 2;10
  7. mmhm . MOT · eng_british_Manchester_II/nic27b.cha, line 997 · Nicole 2;10
  1. eng_british_Manchester_II/nic27b.cha, line 60 · Nicole, 2;10.01
    CHIxxx daddy come .
    CHIDaddy just have that sauce .
    MOT*MOT: mmhm .
    INVI haven't seen this .
    MOThaven't you seen this ?
  2. eng_british_Manchester_II/nic27b.cha, line 163 · Nicole, 2;10.01
    CHIduck .
    CHIducks .
    MOT*MOT: mmhm .
    MOTthat's down here the ducks .
    MOTbut we want the combine harvester .
  3. eng_british_Manchester_II/nic27b.cha, line 338 · Nicole, 2;10.01
    MOTcan you come and find the cockerel ?
    CHIcockerel ?
    MOT*MOT: mmhm .
    MOTlook .
    MOTwhere's the cockerel ?
  4. eng_british_Manchester_II/nic27b.cha, line 566 · Nicole, 2;10.01
    CHIno .
    CHIit isn't .
    MOT*MOT: mmhm .
    MOTthat one in there .
    CHIoh .
  5. eng_british_Manchester_II/nic27b.cha, line 588 · Nicole, 2;10.01
    MOTand that one in there .
    MOTthere .
    MOT*MOT: mmhm .
    MOTwhere's the cat ?
    MOTwhere's the farm cat ?
  6. eng_british_Manchester_II/nic27b.cha, line 953 · Nicole, 2;10.01
    MOTcan you remember ?
    MOThis name's Cameron , isn't it ?
    MOT*MOT: mmhm .
    MOToh .
    MOTwhere're we going ?
  7. eng_british_Manchester_II/nic27b.cha, line 997 · Nicole, 2;10.01
    MOTbet they're nice and comfy .
    INVthey are .
    MOT*MOT: mmhm .
    MOTnice and comfortable .
    MOThmm ?

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_II3.38
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/nic27b.chaNicole 2;10.012,071773.38

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. mmhm7 · 100.0%