PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

3.29 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (340 utterances, 1,521 words searched).

  1. say hello dolly . MOT · eng_british_Manchester_II/warr14b.cha, line 56 · Warren 2;02
  2. what do tigers say ? MOT · eng_british_Manchester_II/warr14b.cha, line 612 · Warren 2;02
  3. say thank you to Anna . MOT · eng_british_Manchester_II/warr14b.cha, line 841 · Warren 2;02
  4. say thank you to Anna . MOT · eng_british_Manchester_II/warr14b.cha, line 849 · Warren 2;02
  5. does Daddy say crash bang wallup ? MOT · eng_british_Manchester_II/warr14b.cha, line 1274 · Warren 2;02
  1. MOTyeah .
    MOTare you pulling dolly out by her hair ?
    MOT*MOT: say hello dolly .
    CHIhello .
    MOTis she waving to you ?
  2. MOThe's sitting on the Mummy tiger now .
    MOTI'm not sure I'd fancy riding a tiger .
    MOT*MOT: what do tigers say ?
    CHIgrr@o .
    MOTthat's right .
  3. MOTwww .
    MOToh .
    MOT*MOT: say thank you to Anna .
    CHIyes .
    CHIthank you Anna .
  4. CHIthank you Anna .
    MOTyou don't need that gap .
    MOT*MOT: say thank you to Anna .
    CHIthank you Anna .
    INVthat's all right .
  5. MOTwho's taught you crash bang wallup because it's not me ?
    MOTis it Daddy ?
    MOT*MOT: does Daddy say crash bang wallup ?
    CHIbang wallup .
    CHIbroken down .

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. Warren eng_british_Manchester_II3.29
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/warr14b.chaWarren 2;2.181,521553.29

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. say5 · 100.0%