PHPCLANCHILDES with regular expressions

10 matches in 10 utterances

4.78 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (560 utterances, 2,094 words searched).

  1. what are we doing ? MOT · eng_british_Manchester_II/ruth01b.cha, line 404 · Ruth 1;11
  2. are you a big girl ? MOT · eng_british_Manchester_II/ruth01b.cha, line 760 · Ruth 1;11
  3. are you crying ? MOT · eng_british_Manchester_II/ruth01b.cha, line 792 · Ruth 1;11
  4. are things getting in your way ? MOT · eng_british_Manchester_II/ruth01b.cha, line 839 · Ruth 1;11
  5. what are they ? MOT · eng_british_Manchester_II/ruth01b.cha, line 922 · Ruth 1;11
  6. are you tired ? MOT · eng_british_Manchester_II/ruth01b.cha, line 1382 · Ruth 1;11
  7. are you tired ? MOT · eng_british_Manchester_II/ruth01b.cha, line 1384 · Ruth 1;11
  8. what are you +//. MOT · eng_british_Manchester_II/ruth01b.cha, line 1656 · Ruth 1;11
  9. are they swimming in the sea ? MOT · eng_british_Manchester_II/ruth01b.cha, line 1741 · Ruth 1;11
  10. are they ? MOT · eng_british_Manchester_II/ruth01b.cha, line 1745 · Ruth 1;11
  1. MOTgive [/] give the baba to me darling .
    CHIthere .
    MOT*MOT: what are we doing ?
    MOTyou're taking them off again .
    MOThere .
  2. MOTyou're a big girl .
    CHIno .
    MOT*MOT: are you a big girl ?
    MOTRuth .
    MOTno .
  3. MOToh look at that lip .
    MOToh look at that lip .
    MOT*MOT: are you crying ?
    MOTaah .
    MOTyou're a big girl .
  4. MOTlet's have a look .
    MOTlet's have a look .
    MOT*MOT: are things getting in your way ?
    CHIoh there .
    MOTthat's a lemon .
  5. MOTwhat's those ?
    CHIxxx .
    MOT*MOT: what are they ?
    CHIyellow [?] .
    CHInana .
  6. MOTcome here .
    MOTwhat's the matter ?
    MOT*MOT: are you tired ?
    MOTare you tired ?
    MOTyou look tired .
  7. MOTwhat's the matter ?
    MOTare you tired ?
    MOT*MOT: are you tired ?
    MOTyou look tired .
    MOToh .
  8. MOToh .
    MOToh no .
    MOT*MOT: what are you +//.
    MOToh .
    MOTthat's a big noise , isn't it ?
  9. CHIthere .
    MOTthat's right .
    MOT*MOT: are they swimming in the sea ?
    CHImmhm .
    MOTare they ?
  10. MOTare they swimming in the sea ?
    CHImmhm .
    MOT*MOT: are they ?
    MOThow do they swim ?
    FATis there no dada ?

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. Ruth eng_british_Manchester_II4.78
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/ruth01b.chaRuth 1;11.152,09410104.78

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. are10 · 100.0%