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. did you bang your toe ? MOT · eng_british_Manchester_I/anne08a.cha, line 1018 · Anne 2;00
  2. bang ? MOT · eng_british_Manchester_I/anne08a.cha, line 1048 · Anne 2;00
  3. bang ? MOT · eng_british_Manchester_I/anne08a.cha, line 1050 · Anne 2;00
  4. bang . MOT · eng_british_Manchester_I/anne08a.cha, line 1054 · Anne 2;00
  5. bang . MOT · eng_british_Manchester_I/anne08a.cha, line 1056 · Anne 2;00
  6. bang . MOT · eng_british_Manchester_I/anne08a.cha, line 1060 · Anne 2;00
  1. INVaah are you okay ?
    CHIyeah .
    MOT*MOT: did you bang your toe ?
    CHIyeah .
    CHItoys .
  2. MOTpardon ?
    CHIxxx .
    MOT*MOT: bang ?
    MOTbang ?
    CHIyeah .
  3. CHIxxx .
    MOTbang ?
    MOT*MOT: bang ?
    CHIyeah .
    MOTbang .
  4. MOTbang ?
    CHIyeah .
    MOT*MOT: bang .
    MOTbang .
    MOTdoes the man pop up ?
  5. CHIyeah .
    MOTbang .
    MOT*MOT: bang .
    MOTdoes the man pop up ?
    MOTbang .
  6. MOTbang .
    MOTdoes the man pop up ?
    MOT*MOT: bang .
    MOToh .
    CHIdo it .

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. bang6 · 100.0%