PHPCLANCHILDES with regular expressions

8 matches in 8 utterances

5.89 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (367 utterances, 1,359 words searched).

  1. Humm . MOT · eng_USA_Brown/eve03.cha, line 1635 · Eve 1;07
  2. were you reading the story of Humm [?] ? MOT · eng_USA_Brown/eve03.cha, line 1638 · Eve 1;07
  3. Humm . MOT · eng_USA_Brown/eve03.cha, line 1645 · Eve 1;07
  4. you go and read Fraser the story of Humm . MOT · eng_USA_Brown/eve03.cha, line 1648 · Eve 1;07
  5. you read Humm . MOT · eng_USA_Brown/eve03.cha, line 1659 · Eve 1;07
  6. you go read the story of Humm . MOT · eng_USA_Brown/eve03.cha, line 1677 · Eve 1;07
  7. we'll read Humm # and that's all . MOT · eng_USA_Brown/eve03.cha, line 1683 · Eve 1;07
  8. what had happened to Humm ? MOT · eng_USA_Brown/eve03.cha, line 1736 · Eve 1;07
  1. CHIHumm .
    CHIHumm .
    MOT*MOT: Humm .
    MOTwere you reading the story of Humm [?] ?
    CHIMommy Humm .
  2. CHIHumm .
    MOTHumm .
    MOT*MOT: were you reading the story of Humm [?] ?
    CHIMommy Humm .
    MOTHumm .
  3. MOTwere you reading the story of Humm [?] ?
    CHIMommy Humm .
    MOT*MOT: Humm .
    MOTyou go and read Fraser the story of Humm .
    MOTthat's a nice story [?] .
  4. CHIMommy Humm .
    MOTHumm .
    MOT*MOT: you go and read Fraser the story of Humm .
    MOTthat's a nice story [?] .
    CHIno # Mommy Humm .
  5. MOTthat's a nice story [?] .
    CHIno # Mommy Humm .
    MOT*MOT: you read Humm .
    CHIno # Mommy Humm .
    MOTno # we'll read later .
  6. CHIMommy Humm .
    CHIMommy Humm .
    MOT*MOT: you go read the story of Humm .
    CHIno # Mommy Humm .
    MOTwe'll read Humm # and that's all .
  7. MOTyou go read the story of Humm .
    CHIno # Mommy Humm .
    MOT*MOT: we'll read Humm # and that's all .
    MOTwww .
    CHIHumm .
  8. MOTwww .
    CHIno .
    MOT*MOT: what had happened to Humm ?
    CHIxxx happen Humm .
    MOTyou have to read the story now .

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. Eve eng_USA_Brown5.89
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/eve03.chaEve 1;7.1,359885.89

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. humm8 · 100.0%