PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

6.64 per 1,000 words of the child (CHI), in 1 of 1 transcripts (294 utterances, 904 words searched).

  1. will you please read to me [% goes into other room] . CHI · eng_USA_Valian/12b.cha, line 1421 · 12B 2;06
  2. [- runs to inv with book] will you please read ? CHI · eng_USA_Valian/12b.cha, line 1439 · 12B 2;06
  3. will you please read ? CHI · eng_USA_Valian/12b.cha, line 1600 · 12B 2;06
  4. could [=? will] you please make a candy cane ? CHI · eng_USA_Valian/12b.cha, line 1704 · 12B 2;06
  5. will you pet her ? CHI · eng_USA_Valian/12b.cha, line 1922 · 12B 2;06
  6. will you pet her ? CHI · eng_USA_Valian/12b.cha, line 1926 · 12B 2;06
  1. eng_USA_Valian/12b.cha, line 1421 · 12B, 2;6.25
    CHIyeah .
    MOToh, can I read it ?
    CHI*CHI: will you please read to me [% goes into other room] .
    MOTwhere are you going ?
    CHIgo get another one [% not a command] .
  2. eng_USA_Valian/12b.cha, line 1439 · 12B, 2;6.25
    MOTshall we read that one ?
    MOTcan you get the one about Edith ?
    CHI*CHI: [- runs to inv with book] will you please read ?
    INVwhat's this one ?
    INVok, we can look at this one too [=! laughs] .
  3. eng_USA_Valian/12b.cha, line 1600 · 12B, 2;6.25
    INVyou've heard it two times now .
    CHIxxx .
    CHI*CHI: will you please read ?
    MOThow (a)bout if we talk ?
    MOTwould you like to go get you notebook and draw instead ?
  4. eng_USA_Valian/12b.cha, line 1704 · 12B, 2;6.25
    CHIlook, I made a candy cane .
    INVhey, that looks good !
    CHI*CHI: could [=? will] you please make a candy cane ?
    INVshould I make a candy cane on the same paper ?
    INVok .
  5. eng_USA_Valian/12b.cha, line 1922 · 12B, 2;6.25
    MOTyou're not sad either, are you ?
    CHII'm not sad too [% inv laughs] .
    CHI*CHI: will you pet her ?
    INVwhat ?
    CHIwill you pet her ?
  6. eng_USA_Valian/12b.cha, line 1926 · 12B, 2;6.25
    CHIwill you pet her ?
    INVwhat ?
    CHI*CHI: will you pet her ?
    INVwhere's my what ?
    MOTshe said +"/.

Matches by age

One dot per transcript: matches per 1,000 words of the child (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. 12B eng_USA_Valian6.64
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Valian/12b.cha12B 2;6.25904666.64

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. will6 · 100.0%