PHPCLANCHILDES with regular expressions

8 matches in 8 utterances

3.97 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (529 utterances, 2,014 words searched).

  1. what's been in here ? MOT · eng_british_Manchester_I/becky09a.cha, line 106 · Becky 2;02
  2. what's been in here ? MOT · eng_british_Manchester_I/becky09a.cha, line 108 · Becky 2;02
  3. what's in here ? MOT · eng_british_Manchester_I/becky09a.cha, line 541 · Becky 2;02
  4. what's the matter ? MOT · eng_british_Manchester_I/becky09a.cha, line 711 · Becky 2;02
  5. what's the matter ? MOT · eng_british_Manchester_I/becky09a.cha, line 729 · Becky 2;02
  6. what's the matter ? MOT · eng_british_Manchester_I/becky09a.cha, line 1031 · Becky 2;02
  7. what's his name ? MOT · eng_british_Manchester_I/becky09a.cha, line 1257 · Becky 2;02
  8. what's that ? MOT · eng_british_Manchester_I/becky09a.cha, line 1648 · Becky 2;02
  1. eng_british_Manchester_I/becky09a.cha, line 106 · Becky, 2;2.30
    MOTthey're very wet as well .
    MOTwhat've you had in there ?
    MOT*MOT: what's been in here ?
    MOTwhat's been in here ?
    MOTit's all wet .
  2. eng_british_Manchester_I/becky09a.cha, line 108 · Becky, 2;2.30
    MOTwhat've you had in there ?
    MOTwhat's been in here ?
    MOT*MOT: what's been in here ?
    MOTit's all wet .
    MOTand sticky .
  3. eng_british_Manchester_I/becky09a.cha, line 541 · Becky, 2;2.30
    INVoh lovely .
    INVI've got a cup of horse .
    MOT*MOT: what's in here ?
    CHIum # piggys .
    MOTpiggy and chicken .
  4. eng_british_Manchester_I/becky09a.cha, line 711 · Becky, 2;2.30
    MOTwhat about your doll's house then ?
    MOTBecky !
    MOT*MOT: what's the matter ?
    MOToy .
    MOTthat'll do .
  5. eng_british_Manchester_I/becky09a.cha, line 729 · Becky, 2;2.30
    MOTdon't pinch .
    MOTcome on .
    MOT*MOT: what's the matter ?
    MOThmm ?
    MOThmm ?
  6. eng_british_Manchester_I/becky09a.cha, line 1031 · Becky, 2;2.30
    MOTno ?
    CHIno .
    MOT*MOT: what's the matter ?
    CHIpush+chair .
    MOTwe can put this on the push+chair though .
  7. eng_british_Manchester_I/becky09a.cha, line 1257 · Becky, 2;2.30
    MOTdo you remember his name ?
    CHIyeah .
    MOT*MOT: what's his name ?
    CHIhello , Sukie .
    MOTBaloo , wasn't it ?
  8. eng_british_Manchester_I/becky09a.cha, line 1648 · Becky, 2;2.30
    MOTwhat ?
    MOToh .
    MOT*MOT: what's that ?
    MOTbit of fluff ?
    CHIno .

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_I3.97
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky09a.chaBecky 2;2.302,014883.97

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%