PHPCLANCHILDES with regular expressions

9 matches in 9 utterances

4.60 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (545 utterances, 1,958 words searched).

  1. this one's Mo . MOT · eng_british_Manchester_II/ruth02a.cha, line 95 · Ruth 1;11
  2. where's Mo ? MOT · eng_british_Manchester_II/ruth02a.cha, line 97 · Ruth 1;11
  3. show me where Mo is . MOT · eng_british_Manchester_II/ruth02a.cha, line 99 · Ruth 1;11
  4. where's Mo ? MOT · eng_british_Manchester_II/ruth02a.cha, line 101 · Ruth 1;11
  5. there's Mo . MOT · eng_british_Manchester_II/ruth02a.cha, line 103 · Ruth 1;11
  6. Mummy have Mo . MOT · eng_british_Manchester_II/ruth02a.cha, line 109 · Ruth 1;11
  7. Mummy's got Mo , hasn't she ? MOT · eng_british_Manchester_II/ruth02a.cha, line 129 · Ruth 1;11
  8. this is Mo . MOT · eng_british_Manchester_II/ruth02a.cha, line 140 · Ruth 1;11
  9. this is Mo , isn't it ? MOT · eng_british_Manchester_II/ruth02a.cha, line 144 · Ruth 1;11
  1. INVoh who's this ?
    MOTwww .
    MOT*MOT: this one's Mo .
    MOTwhere's Mo ?
    MOTshow me where Mo is .
  2. MOTwww .
    MOTthis one's Mo .
    MOT*MOT: where's Mo ?
    MOTshow me where Mo is .
    MOTwhere's Mo ?
  3. MOTthis one's Mo .
    MOTwhere's Mo ?
    MOT*MOT: show me where Mo is .
    MOTwhere's Mo ?
    MOTthere's Mo .
  4. MOTwhere's Mo ?
    MOTshow me where Mo is .
    MOT*MOT: where's Mo ?
    MOTthere's Mo .
    INVaah .
  5. MOTshow me where Mo is .
    MOTwhere's Mo ?
    MOT*MOT: there's Mo .
    INVaah .
    CHIMama .
  6. INVaah .
    CHIMama .
    MOT*MOT: Mummy have Mo .
    CHImore baba .
    CHIthere .
  7. CHIon there .
    CHIon there .
    MOT*MOT: Mummy's got Mo , hasn't she ?
    CHIyeah .
    MOTwho've you got ?
  8. MOTwho's that ?
    CHIMo .
    MOT*MOT: this is Mo .
    CHIhuh ?
    MOTthis is Mo , isn't it ?
  9. MOTthis is Mo .
    CHIhuh ?
    MOT*MOT: this is Mo , isn't it ?
    MOTwho's that ?
    CHIxxx .

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_II4.60
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/ruth02a.chaRuth 1;11.201,958994.60

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. mo9 · 100.0%