PHPCLANCHILDES with regular expressions

13 matches in 13 utterances

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

  1. where's our green ? MOT · eng_british_Manchester_II/ruth09a.cha, line 599 · Ruth 2;02
  2. green for +... MOT · eng_british_Manchester_II/ruth09a.cha, line 603 · Ruth 2;02
  3. what's green for ? MOT · eng_british_Manchester_II/ruth09a.cha, line 605 · Ruth 2;02
  4. shall we put some green on it ? MOT · eng_british_Manchester_II/ruth09a.cha, line 671 · Ruth 2;02
  5. shall we put some green on it ? MOT · eng_british_Manchester_II/ruth09a.cha, line 673 · Ruth 2;02
  6. put some green on it . MOT · eng_british_Manchester_II/ruth09a.cha, line 681 · Ruth 2;02
  7. green ? MOT · eng_british_Manchester_II/ruth09a.cha, line 837 · Ruth 2;02
  8. green roof ? MOT · eng_british_Manchester_II/ruth09a.cha, line 839 · Ruth 2;02
  9. green ? MOT · eng_british_Manchester_II/ruth09a.cha, line 1067 · Ruth 2;02
  10. a green Peter ? MOT · eng_british_Manchester_II/ruth09a.cha, line 1071 · Ruth 2;02
  11. green ? MOT · eng_british_Manchester_II/ruth09a.cha, line 1110 · Ruth 2;02
  12. green eyes ? MOT · eng_british_Manchester_II/ruth09a.cha, line 1176 · Ruth 2;02
  13. green eyes . MOT · eng_british_Manchester_II/ruth09a.cha, line 1187 · Ruth 2;02
  1. CHIno baba on there .
    MOToh .
    MOT*MOT: where's our green ?
    MOTaah .
    MOTgreen for +...
  2. MOTwhere's our green ?
    MOTaah .
    MOT*MOT: green for +...
    MOTwhat's green for ?
    CHIgo .
  3. MOTaah .
    MOTgreen for +...
    MOT*MOT: what's green for ?
    CHIgo .
    MOTthat's right darling .
  4. INVoh that's lovely .
    INVthat's very good .
    MOT*MOT: shall we put some green on it ?
    MOTshall we put some green on it ?
    MOTthen it'll be nice .
  5. INVthat's very good .
    MOTshall we put some green on it ?
    MOT*MOT: shall we put some green on it ?
    MOTthen it'll be nice .
    MOTlots of colors .
  6. MOTlots of colors .
    MOThere .
    MOT*MOT: put some green on it .
    MOTgood girl .
    CHIno baba on there .
  7. MOTthere .
    MOTwhat color shall I do the roof ?
    MOT*MOT: green ?
    MOTgreen roof ?
    CHImmhm .
  8. MOTwhat color shall I do the roof ?
    MOTgreen ?
    MOT*MOT: green roof ?
    CHImmhm .
    CHIme on there .
  9. MOTwhat color shall I do him ?
    CHIin there .
    MOT*MOT: green ?
    CHIPeter in there .
    MOTa green Peter ?
  10. MOTgreen ?
    CHIPeter in there .
    MOT*MOT: a green Peter ?
    CHIyeah .
    MOTright .
  11. MOTwhat color shall I do his trousers ?
    CHIer there .
    MOT*MOT: green ?
    CHImmhm .
    MOTdon't think you want to do a different color ?
  12. MOTeyes ?
    MOTeyes .
    MOT*MOT: green eyes ?
    CHImmhm .
    MOTI don't know whether I'll be able to xxx this .
  13. MOTthere .
    MOTthere .
    MOT*MOT: green eyes .
    MOTwhat else shall I do ?
    CHIknee .

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_II6.23
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/ruth09a.chaRuth 2;2.072,08813136.23

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. green13 · 100.0%