PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

5.47 per 1,000 words of the child (CHI), in 1 of 1 transcripts (271 utterances, 914 words searched).

  1. I bet that's Mister G . CHI · eng_USA_Brown/sarah117.cha, line 97 · Sarah 4;07
  2. I bet that's Mister G . CHI · eng_USA_Brown/sarah117.cha, line 101 · Sarah 4;07
  3. I think that's Mister Gtalking on the telephone . CHI · eng_USA_Brown/sarah117.cha, line 329 · Sarah 4;07
  4. that's his nose . CHI · eng_USA_Brown/sarah117.cha, line 364 · Sarah 4;07
  5. I said # that's the washin(g)+machine . CHI · eng_USA_Brown/sarah117.cha, line 470 · Sarah 4;07
  1. CHIuhhuh .
    CHIhullo [: hello] .
    CHI*CHI: I bet that's Mister G .
    MELyou bet what ?
    CHII bet that's Mister G .
  2. CHII bet that's Mister G .
    MELyou bet what ?
    CHI*CHI: I bet that's Mister G .
    MELMister G ?
    MELj@l ?
  3. MOTwhat is it # twenty mule team ?
    CHIbite myself .
    CHI*CHI: I think that's Mister Gtalking on the telephone .
    MOTit wasn't Mister G .
    MOTthat was Aunt Dot .
  4. CHIwith a nose .
    CHIlook it his nose .
    CHI*CHI: that's his nose .
    MELup there ?
    CHIyup .
  5. CHIxxx there for .
    GAIhmm ?
    CHI*CHI: I said # that's the washin(g)+machine .
    MELwhy do you think what you're not supposed to talk with your mouth mouth full ?
    CHIit's not good but # I just # don't talk with a xxx .

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. Sarah eng_USA_Brown5.47
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah117.chaSarah 4;7.11914555.47

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. that's5 · 100.0%