PHPCLANCHILDES with regular expressions

8 matches in 8 utterances

3.87 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (661 utterances, 2,067 words searched).

  1. what's the matter ? MOT · eng_british_Manchester_I/anne04a.cha, line 118 · Anne 1;11
  2. what's the matter ? MOT · eng_british_Manchester_I/anne04a.cha, line 376 · Anne 1;11
  3. what's in here ? MOT · eng_british_Manchester_I/anne04a.cha, line 750 · Anne 1;11
  4. what's Mummy cow say ? MOT · eng_british_Manchester_I/anne04a.cha, line 1100 · Anne 1;11
  5. what's she gonna [: going to] say ? MOT · eng_british_Manchester_I/anne04a.cha, line 1102 · Anne 1;11
  6. what's the matter with this frog ? MOT · eng_british_Manchester_I/anne04a.cha, line 1506 · Anne 1;11
  7. what's the matter with the frog ? MOT · eng_british_Manchester_I/anne04a.cha, line 1510 · Anne 1;11
  8. what's that ? MOT · eng_british_Manchester_I/anne04a.cha, line 1726 · Anne 1;11
  1. CHIoh .
    CHIoh .
    MOT*MOT: what's the matter ?
    CHIxxx .
    CHIxxx here .
  2. MOTare you alright ?
    CHIxxx .
    MOT*MOT: what's the matter ?
    CHIxxx .
    MOTtry this one .
  3. MOTyeah .
    CHIxxx .
    MOT*MOT: what's in here ?
    CHIxxx .
    CHIxxx .
  4. CHIthere .
    MOToh .
    MOT*MOT: what's Mummy cow say ?
    MOTwhat's she gonna [: going to] say ?
    CHIwant Mummy .
  5. MOToh .
    MOTwhat's Mummy cow say ?
    MOT*MOT: what's she gonna [: going to] say ?
    CHIwant Mummy .
    MOTwant Mummy .
  6. MOTyeah .
    MOToh .
    MOT*MOT: what's the matter with this frog ?
    CHIxxx .
    MOTwhat's the matter with the frog ?
  7. MOTwhat's the matter with this frog ?
    CHIxxx .
    MOT*MOT: what's the matter with the frog ?
    CHIcrying .
    MOTcrying ?
  8. MOTgood morning .
    MOToh .
    MOT*MOT: what's that ?
    MOTthink it's a fly .
    CHIfly .

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. Anne eng_british_Manchester_I3.87
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/anne04a.chaAnne 1;11.062,067883.87

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. what's8 · 100.0%