PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

3.33 per 1,000 words of the child (CHI), in 1 of 1 transcripts (216 utterances, 902 words searched).

  1. now let's start making this . CHI · eng_USA_Valian/21a.cha, line 74 · 21A 2;06
  2. # we didn't finish making a forklift xxx . CHI · eng_USA_Valian/21a.cha, line 158 · 21A 2;06
  3. now let's finish making the forklift . CHI · eng_USA_Valian/21a.cha, line 188 · 21A 2;06
  1. eng_USA_Valian/21a.cha, line 74 · 21A, 2;6.05
    CHIdoes it go right there ?
    MOTummhm .
    CHI*CHI: now let's start making this .
    MOT[- quietly] boy, it looks pretty complicated Child .
    CHI[- Toys banging] xxx this # .
  2. eng_USA_Valian/21a.cha, line 158 · 21A, 2;6.05
    CHIno .
    MOTno ?
    CHI*CHI: # we didn't finish making a forklift xxx .
    MOToh, you mean you're gonna make, make me do the whole thing ?
    CHIuh hmm, and I'll help xxx .
  3. eng_USA_Valian/21a.cha, line 188 · 21A, 2;6.05
    MOTyou're right Child, we do, look at that .
    MOT# very good !
    CHI*CHI: now let's finish making the forklift .
    MOTnow let's finish ?
    CHIuh hmm .

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. 21A eng_USA_Valian3.33
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Valian/21a.cha21A 2;6.05902333.33

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. making3 · 100.0%