PHPCLANCHILDES with regular expressions

10 matches in 9 utterances

6.45 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (416 utterances, 1,550 words searched).

  1. we've got loads more grapes , look . MOT · eng_british_Manchester_II/nic24b.cha, line 142 · Nicole 2;09
  2. haven't we ? MOT · eng_british_Manchester_II/nic24b.cha, line 146 · Nicole 2;09
  3. we watched a horse+race the other day , didn't we ? MOT · eng_british_Manchester_II/nic24b.cha, line 175 · Nicole 2;09
  4. we watched a horse+race the other day , didn't we ? MOT · eng_british_Manchester_II/nic24b.cha, line 175 · Nicole 2;09
  5. we're having a change , look . MOT · eng_british_Manchester_II/nic24b.cha, line 543 · Nicole 2;09
  6. we don't know who got them . MOT · eng_british_Manchester_II/nic24b.cha, line 1224 · Nicole 2;09
  7. you've asked a question and we've given you the answer . MOT · eng_british_Manchester_II/nic24b.cha, line 1236 · Nicole 2;09
  8. we don't know who bought them . MOT · eng_british_Manchester_II/nic24b.cha, line 1241 · Nicole 2;09
  9. perhaps if we do it like that . MOT · eng_british_Manchester_II/nic24b.cha, line 1517 · Nicole 2;09
  10. is that here we go round the mulberry+bush ? MOT · eng_british_Manchester_II/nic24b.cha, line 1538 · Nicole 2;09
  1. MOTthey're grapes , aren't they ?
    MOTgosh .
    MOT*MOT: we've got loads more grapes , look .
    INVthere's loads of grapes .
    MOThaven't we ?
  2. MOTwe've got loads more grapes , look .
    INVthere's loads of grapes .
    MOT*MOT: haven't we ?
    MOTlots and lots of grapes .
    CHIxxx .
  3. CHIthat horse lie down .
    MOTit is a horse lying down .
    MOT*MOT: we watched a horse+race the other day , didn't we ?
    MOTit was exciting , wasn't it ?
    CHIyeah .
  4. MOTare you color coordinating this field , Nicole ?
    MOTno .
    MOT*MOT: we're having a change , look .
    MOTit should fit somewhere .
    CHIthere .
  5. CHIMummy .
    MOTNicole .
    MOT*MOT: we don't know who got them .
    MOTalright ?
    MOTthey're just there .
  6. CHIwho bought them ?
    MOTNicole .
    MOT*MOT: you've asked a question and we've given you the answer .
    CHIwho bought them ?
    MOTwe don't know who bought them .
  7. MOTyou've asked a question and we've given you the answer .
    CHIwho bought them ?
    MOT*MOT: we don't know who bought them .
    CHIwho bought them ?
    CHIxxx .
  8. MOThe willn't actually .
    MOThe willn't stop down .
    MOT*MOT: perhaps if we do it like that .
    MOTno .
    MOThe's a little bit too big .
  9. MOTyou're crunching them very nicely .
    CHImmm [=! hums] .
    MOT*MOT: is that here we go round the mulberry+bush ?
    CHIcan't go round .
    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_II6.45
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/nic24b.chaNicole 2;9.031,5509106.45

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. we10 · 100.0%