PHPCLANCHILDES with regular expressions

10 matches in 10 utterances

4.79 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (557 utterances, 2,088 words searched).

  1. you just wake up in a good mood . MOT · eng_british_Manchester_II/ruth09a.cha, line 31 · Ruth 2;02
  2. what were they doing in Sesame_Street this morning ? MOT · eng_british_Manchester_II/ruth09a.cha, line 235 · Ruth 2;02
  3. what were they doing in Sesame_Street ? MOT · eng_british_Manchester_II/ruth09a.cha, line 246 · Ruth 2;02
  4. it's not very nice in public . MOT · eng_british_Manchester_II/ruth09a.cha, line 299 · Ruth 2;02
  5. or in private . MOT · eng_british_Manchester_II/ruth09a.cha, line 301 · Ruth 2;02
  6. put some more red in then . MOT · eng_british_Manchester_II/ruth09a.cha, line 636 · Ruth 2;02
  7. what else do I need in my house ? MOT · eng_british_Manchester_II/ruth09a.cha, line 892 · Ruth 2;02
  8. what shall I do in my house ? MOT · eng_british_Manchester_II/ruth09a.cha, line 942 · Ruth 2;02
  9. I could nearly sat in your paint . MOT · eng_british_Manchester_II/ruth09a.cha, line 1435 · Ruth 2;02
  10. I don't think you're in the mood for talking , aren't you not ? MOT · eng_british_Manchester_II/ruth09a.cha, line 1521 · Ruth 2;02
  1. MOTno .
    MOTI'm not having this , Ruth .
    MOT*MOT: you just wake up in a good mood .
    MOTwww .
    MOTnow are we going to play nicely ?
  2. MOTlet's [/] let's empty this out pet .
    MOTsee if we can find something nice .
    MOT*MOT: what were they doing in Sesame_Street this morning ?
    MOTwere they building a tower with bricks ?
    MOTwww .
  3. MOTwww .
    MOTlook .
    MOT*MOT: what were they doing in Sesame_Street ?
    CHIno .
    MOTdid they make a tower ?
  4. MOTRuth .
    MOTstop picking your nose darling .
    MOT*MOT: it's not very nice in public .
    MOTor in private .
    MOTdo you want me to read to you while you wake up ?
  5. MOTstop picking your nose darling .
    MOTit's not very nice in public .
    MOT*MOT: or in private .
    MOTdo you want me to read to you while you wake up ?
    MOTdo you want me to read ?
  6. CHImmhm .
    MOTokay .
    MOT*MOT: put some more red in then .
    MOTthere's not a lot of red on that .
    MOTput some more red paint on it .
  7. MOTsweetheart .
    MOTlisten .
    MOT*MOT: what else do I need in my house ?
    MOThey ?
    MOTRuth .
  8. CHImmhm .
    MOTlisten .
    MOT*MOT: what shall I do in my house ?
    CHIin there .
    MOTshall I have a door ?
  9. MOTwhat're you like ?
    MOThey ?
    MOT*MOT: I could nearly sat in your paint .
    MOTmy white trousers on your picture .
    MOThmm ?
  10. MOTno .
    MOToh .
    MOT*MOT: I don't think you're in the mood for talking , aren't you not ?
    MOToh .
    MOTthat hurt .

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_II4.79
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/ruth09a.chaRuth 2;2.072,08810104.79

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. in10 · 100.0%