PHPCLANCHILDES with regular expressions

8 matches in 8 utterances

5.76 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (304 utterances, 1,389 words searched).

  1. are you ? INV · eng_british_Manchester_II/warr20a.cha, line 123 · Warren 2;04
  2. are you thirsty as well ? MOT · eng_british_Manchester_II/warr20a.cha, line 206 · Warren 2;04
  3. there we are . MOT · eng_british_Manchester_II/warr20a.cha, line 293 · Warren 2;04
  4. you are . MOT · eng_british_Manchester_II/warr20a.cha, line 310 · Warren 2;04
  5. are you a baby ? MOT · eng_british_Manchester_II/warr20a.cha, line 578 · Warren 2;04
  6. so are you a baby ? MOT · eng_british_Manchester_II/warr20a.cha, line 594 · Warren 2;04
  7. are there no passengers ? MOT · eng_british_Manchester_II/warr20a.cha, line 723 · Warren 2;04
  8. where are they going now ? MOT · eng_british_Manchester_II/warr20a.cha, line 762 · Warren 2;04
  1. CHIwhere that two piece gone ?
    CHII 0am [*] missing two cups .
    INV*INV: are you ?
    CHI<missing missing> [/] missing two cups .
    CHImissing my plate .
  2. INVmmm .
    MOTAnna's very thirsty , isn't she ?
    MOT*MOT: are you thirsty as well ?
    CHIxxx all my plates .
    CHIall plates .
  3. CHIdraw star .
    CHII draw a little star .
    MOT*MOT: there we are .
    MOTput it on the floor and then you can put stars on it better .
    CHIno .
  4. MOTyou're good at doing stars .
    CHIno .
    MOT*MOT: you are .
    MOTtell you what .
    MOTWarren do stars .
  5. MOTno .
    MOTonly babys put things in their mouth like that .
    MOT*MOT: are you a baby ?
    CHIyes .
    MOTyou're not a baby .
  6. MOTbabys wear nappys .
    CHIno .
    MOT*MOT: so are you a baby ?
    MOTno .
    MOTyou're not .
  7. CHIjust got tender .
    MOTokay .
    MOT*MOT: are there no passengers ?
    CHIno .
    MOTokay .
  8. CHIchuff^chuff@o .
    CHIwhee .
    MOT*MOT: where are they going now ?
    MOTand Warren .
    MOTwhat do engines always do before they go through under bridges ?

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_II5.76
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/warr20a.chaWarren 2;4.221,389885.76

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. are8 · 100.0%