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. and now put it on your hair , look . MOT · eng_british_Manchester_II/nic14b.cha, line 115 · Nicole 2;05
  2. have a look at it . MOT · eng_british_Manchester_II/nic14b.cha, line 413 · Nicole 2;05
  3. this says one , look . MOT · eng_british_Manchester_II/nic14b.cha, line 810 · Nicole 2;05
  4. look . MOT · eng_british_Manchester_II/nic14b.cha, line 834 · Nicole 2;05
  5. look again and count them properly . MOT · eng_british_Manchester_II/nic14b.cha, line 857 · Nicole 2;05
  6. look at it properly . MOT · eng_british_Manchester_II/nic14b.cha, line 875 · Nicole 2;05
  7. are you going to count the bags , look ? MOT · eng_british_Manchester_II/nic14b.cha, line 899 · Nicole 2;05
  1. eng_british_Manchester_II/nic14b.cha, line 115 · Nicole, 2;5.05
    CHIyellow .
    MOThold the brush .
    MOT*MOT: and now put it on your hair , look .
    MOTthere .
    MOTxxx .
  2. eng_british_Manchester_II/nic14b.cha, line 413 · Nicole, 2;5.05
    CHIxxx .
    MOTwhat have you got ?
    MOT*MOT: have a look at it .
    CHIno .
    MOTxxx .
  3. eng_british_Manchester_II/nic14b.cha, line 810 · Nicole, 2;5.05
    MOTright .
    MOTso shall we find the sticker for one ?
    MOT*MOT: this says one , look .
    MOTcan you see it ?
    MOTone .
  4. eng_british_Manchester_II/nic14b.cha, line 834 · Nicole, 2;5.05
    CHIone two .
    MOTno .
    MOT*MOT: look .
    MOTdon't just do it willy+nilly .
    MOThow many boots are there ?
  5. eng_british_Manchester_II/nic14b.cha, line 857 · Nicole, 2;5.05
    CHIone xxx .
    MOTno .
    MOT*MOT: look again and count them properly .
    CHIteddy+bear .
    MOTone .
  6. eng_british_Manchester_II/nic14b.cha, line 875 · Nicole, 2;5.05
    MOTxxx .
    MOTno , Nicole .
    MOT*MOT: look at it properly .
    MOTand count it properly .
    CHIxxx .
  7. eng_british_Manchester_II/nic14b.cha, line 899 · Nicole, 2;5.05
    CHIxxx .
    MOTxxx .
    MOT*MOT: are you going to count the bags , look ?
    MOThow many .
    CHIxxx .

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. look7 · 100.0%