PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

2.59 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (595 utterances, 2,317 words searched).

  1. are you going to close your eyes ? MOT · eng_british_Manchester_I/anne08a.cha, line 1638 · Anne 2;00
  2. close them tight . MOT · eng_british_Manchester_I/anne08a.cha, line 1641 · Anne 2;00
  3. close them tight . MOT · eng_british_Manchester_I/anne08a.cha, line 1644 · Anne 2;00
  4. are you going to close your eyes again ? MOT · eng_british_Manchester_I/anne08a.cha, line 1686 · Anne 2;00
  5. I tell you what shall <Mummy hide> [//] Mummy close her eyes now ? MOT · eng_british_Manchester_I/anne08a.cha, line 1709 · Anne 2;00
  6. close your eyes . MOT · eng_british_Manchester_I/anne08a.cha, line 1946 · Anne 2;00
  1. eng_british_Manchester_I/anne08a.cha, line 1638 · Anne, 2;0.17
    MOThiding game .
    MOTright .
    MOT*MOT: are you going to close your eyes ?
    MOTclose them tight .
    MOTclose them tight .
  2. eng_british_Manchester_I/anne08a.cha, line 1641 · Anne, 2;0.17
    MOTright .
    MOTare you going to close your eyes ?
    MOT*MOT: close them tight .
    MOTclose them tight .
    MOTright .
  3. eng_british_Manchester_I/anne08a.cha, line 1644 · Anne, 2;0.17
    MOTare you going to close your eyes ?
    MOTclose them tight .
    MOT*MOT: close them tight .
    MOTright .
    MOToh .
  4. eng_british_Manchester_I/anne08a.cha, line 1686 · Anne, 2;0.17
    CHIput him back .
    MOTput him back .
    MOT*MOT: are you going to close your eyes again ?
    MOTnow .
    MOTwait a minute .
  5. eng_british_Manchester_I/anne08a.cha, line 1709 · Anne, 2;0.17
    CHIit's in that one .
    MOTright .
    MOT*MOT: I tell you what shall <Mummy hide> [//] Mummy close her eyes now ?
    MOTAnne hide one for Mummy ?
    MOTyou hide it .
  6. eng_british_Manchester_I/anne08a.cha, line 1946 · Anne, 2;0.17
    MOTokay .
    MOTI'm not ready yet .
    MOT*MOT: close your eyes .
    MOTokay .
    MOTyou're looking for the horse this time .

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. Anne eng_british_Manchester_I2.59
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/anne08a.chaAnne 2;0.172,317662.59

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. close6 · 100.0%