PHPCLANCHILDES with regular expressions

9 matches in 9 utterances

4.93 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (502 utterances, 1,827 words searched).

  1. yeah . MOT · eng_british_Manchester_II/nic17b.cha, line 80 · Nicole 2;06
  2. yeah . MOT · eng_british_Manchester_II/nic17b.cha, line 603 · Nicole 2;06
  3. yeah . MOT · eng_british_Manchester_II/nic17b.cha, line 928 · Nicole 2;06
  4. yeah . MOT · eng_british_Manchester_II/nic17b.cha, line 934 · Nicole 2;06
  5. yeah ? MOT · eng_british_Manchester_II/nic17b.cha, line 1092 · Nicole 2;06
  6. yeah . INV · eng_british_Manchester_II/nic17b.cha, line 1326 · Nicole 2;06
  7. yeah . INV · eng_british_Manchester_II/nic17b.cha, line 1347 · Nicole 2;06
  8. yeah . MOT · eng_british_Manchester_II/nic17b.cha, line 1462 · Nicole 2;06
  9. yeah . MOT · eng_british_Manchester_II/nic17b.cha, line 1499 · Nicole 2;06
  1. CHIcat+food .
    MOTcat+food .
    MOT*MOT: yeah .
    MOTfruit .
    MOTfruit+cocktail .
  2. MOTthat's a cabbage .
    MOTyou like cabbage , don't you ?
    MOT*MOT: yeah .
    CHIwhere 0is [*] carrot ?
    MOTcabbage .
  3. MOTwhat about the cans of tomatos ?
    CHIthere .
    MOT*MOT: yeah .
    CHIno .
    CHIthere .
  4. CHIno .
    CHIthere .
    MOT*MOT: yeah .
    MOTthey're all yucky yucky now because he should have picked them ages ago .
    MOTthink he's leaving them and he's going to use them next year .
  5. CHIshopping .
    MOTwhen we go shopping I'll get some .
    MOT*MOT: yeah ?
    MOTI've got more things to get on this shopping list , haven't I ?
    MOTwhat else have I got to remember to get for you ?
  6. INVthe nuts you mean ?
    CHIyeah .
    INV*INV: yeah .
    INVthat's right , aren't they ?
    INVthat's what the birdie's taking out .
  7. INVthe plants ?
    CHIyeah .
    INV*INV: yeah .
    INVbecause it's nearly spring .
    CHIoh .
  8. MOThas it ?
    MOThas it ?
    MOT*MOT: yeah .
    MOToh .
    CHIthere .
  9. MOTand +...
    CHIpurple .
    MOT*MOT: yeah .
    MOTI supposed .
    MOTwhat color's that then ?

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_II4.93
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/nic17b.chaNicole 2;6.161,827994.93

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. yeah9 · 100.0%