PHPCLANCHILDES with regular expressions

8 matches in 8 utterances

3.07 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (638 utterances, 2,602 words searched).

  1. can she ? MOT · eng_british_Manchester_II/ruth34a.cha, line 1101 · Ruth 2;11
  2. she is . MOT · eng_british_Manchester_II/ruth34a.cha, line 1109 · Ruth 2;11
  3. can she not ? MOT · eng_british_Manchester_II/ruth34a.cha, line 1284 · Ruth 2;11
  4. was called Sally , was she ? MOT · eng_british_Manchester_II/ruth34a.cha, line 1491 · Ruth 2;11
  5. is she ? MOT · eng_british_Manchester_II/ruth34a.cha, line 1750 · Ruth 2;11
  6. have you asked Anna does she like tea ? MOT · eng_british_Manchester_II/ruth34a.cha, line 1865 · Ruth 2;11
  7. ask Anna does she like tea ? MOT · eng_british_Manchester_II/ruth34a.cha, line 1879 · Ruth 2;11
  8. is she having some milk ? INV · eng_british_Manchester_II/ruth34a.cha, line 2049 · Ruth 2;11
  1. CHIyeah .
    CHIbaby can do it .
    MOT*MOT: can she ?
    CHIyeah .
    MOTis the baby very clever ?
  2. MOTis the baby very clever ?
    CHIyeah .
    MOT*MOT: she is .
    MOTright .
    MOTnow are you gonna [: going to] step into there ?
  3. MOTare you ?
    CHIthis baby can't walk .
    MOT*MOT: can she not ?
    MOTthat's a very funny way to go to bed .
    CHIhuh ?
  4. CHIno .
    CHIum my friend +...
    MOT*MOT: was called Sally , was she ?
    CHIyeah .
    MOTcan you say Sally ?
  5. CHIlook .
    CHIthere 0is [*] Grandma in there .
    MOT*MOT: is she ?
    MOTis that a Grandma ?
    MOTyeah .
  6. MOTmmhm .
    MOTdoes Anna like tea ?
    MOT*MOT: have you asked Anna does she like tea ?
    CHIyeah .
    MOTI don't think you have .
  7. CHII 0have [*] got some tea .
    MOThave you ?
    MOT*MOT: ask Anna does she like tea ?
    CHIlike tea ?
    INVmmhm .
  8. INVare you making er Mummy a cup of tea now ?
    CHIyeah .
    INV*INV: is she having some milk ?
    CHIyeah .
    CHIMummy don't like one .

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. Ruth eng_british_Manchester_II3.07
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/ruth34a.chaRuth 2;11.212,602883.07

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. she8 · 100.0%