PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

8.25 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (303 utterances, 848 words searched).

  1. can you color that one it because you started it . MOT · eng_british_Manchester_II/nic14b.cha, line 458 · Nicole 2;05
  2. shall I clean this one xxx . MOT · eng_british_Manchester_II/nic14b.cha, line 461 · Nicole 2;05
  3. so shall we find the sticker for one ? MOT · eng_british_Manchester_II/nic14b.cha, line 807 · Nicole 2;05
  4. this says one , look . MOT · eng_british_Manchester_II/nic14b.cha, line 810 · Nicole 2;05
  5. one . MOT · eng_british_Manchester_II/nic14b.cha, line 814 · Nicole 2;05
  6. one . MOT · eng_british_Manchester_II/nic14b.cha, line 861 · Nicole 2;05
  7. one two three . MOT · eng_british_Manchester_II/nic14b.cha, line 881 · Nicole 2;05
  1. MOTdefinitely not .
    MOTyou must be careful what you're doing with the paintbrushes .
    MOT*MOT: can you color that one it because you started it .
    MOTshall I clean this one xxx .
    CHII xxx .
  2. MOTyou must be careful what you're doing with the paintbrushes .
    MOTcan you color that one it because you started it .
    MOT*MOT: shall I clean this one xxx .
    CHII xxx .
    MOTwell .
  3. CHIone .
    MOTright .
    MOT*MOT: so shall we find the sticker for one ?
    MOTthis says one , look .
    MOTcan you see it ?
  4. MOTright .
    MOTso shall we find the sticker for one ?
    MOT*MOT: this says one , look .
    MOTcan you see it ?
    MOTone .
  5. MOTthis says one , look .
    MOTcan you see it ?
    MOT*MOT: one .
    MOThow many boots are there ?
    MOTgood girl .
  6. MOTlook again and count them properly .
    CHIteddy+bear .
    MOT*MOT: one .
    CHIxxx .
    MOTcount them then .
  7. MOTand count it properly .
    CHIxxx .
    MOT*MOT: one two three .
    MOTthere .
    MOTxxx .

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. Nicole eng_british_Manchester_II8.25
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/nic14b.chaNicole 2;5.05848778.25

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. one7 · 100.0%