PHPCLANCHILDES with regular expressions

12 matches in 12 utterances

37.85 per 1,000 words of the child (CHI), in 1 of 1 transcripts (278 utterances, 317 words searched).

  1. INVwell how about saying Caroline ?
    MOTwww .
    CHI*CHI: Ella .
    INVsay Caroline .
    MOTcan you say the lady's name ?
  2. MOTyou said it earlier .
    MOTCaroline .
    CHI*CHI: Ella .
    MOTwhat ?
    CHIElla .
  3. CHIElla .
    MOTwhat ?
    CHI*CHI: Ella .
    MOTElla .
    INVonly a conversation behind .
  4. MOTUncle_Mark and Aunty_Liz ?
    CHIyeah .
    CHI*CHI: Ella .
    CHIxxx .
    MOTdid you blow a kiss to Ella ?
  5. MOTand you can say King .
    MOTQueen .
    CHI*CHI: Ella .
    MOTElla .
    CHIxxx .
  6. MOTso we didn't put it on last week and they won .
    MOTwww .
    CHI*CHI: Ella .
    MOTElla .
    MOTyeah .
  7. MOTthey're my boobs .
    MOTdo you mind ?
    CHI*CHI: Ella got boobs .
    MOTElla's got boobs ?
    MOTwell I wouldn't know that, would I ?
  8. INVyeah .
    INVthat's right .
    CHI*CHI: Ella .
    MOTElla ?
    MOTdid you say that +//.
  9. MOTsix .
    INVsix .
    CHI*CHI: Ella .
    MOTElla ?
    MOTyou've gone mad on Ella all of a sudden, haven't you ?
  10. MOTyou've gone mad on Ella all of a sudden, haven't you ?
    MOTbut we got you right up to ten on holiday, didn't we ?
    CHI*CHI: Ella .
    MOTcan't you say anything else ?
    CHIElla .
  11. CHIElla .
    MOTcan't you say anything else ?
    CHI*CHI: Ella .
    MOTElla .
    CHIxxx .
  12. CHIxxx .
    MOTwhat ?
    CHI*CHI: Ella .
    MOTElla .
    MOTdo you know any letters ?

Matches by age

One dot per transcript: matches per 1,000 words of the child (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. Joel eng_british_Manchester_II37.85
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/joel03b.chaJoel 1;11.22317121237.85

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. ella12 · 100.0%