PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

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

  1. but how the names get on it ? CHI · eng_USA_Brown/sarah117.cha, line 64 · Sarah 4;07
  2. how # (a)nd [?] # xxx are # you coming # here # you . CHI · eng_USA_Brown/sarah117.cha, line 73 · Sarah 4;07
  3. know how to open them # but I guess I do . CHI · eng_USA_Brown/sarah117.cha, line 374 · Sarah 4;07
  4. how you measure it ? CHI · eng_USA_Brown/sarah117.cha, line 497 · Sarah 4;07
  5. how much did you grow ? CHI · eng_USA_Brown/sarah117.cha, line 1013 · Sarah 4;07
  6. how'd you know ? CHI · eng_USA_Brown/sarah117.cha, line 1126 · Sarah 4;07
  1. eng_USA_Brown/sarah117.cha, line 64 · Sarah, 4;7.11
    CHIyeah .
    MELoh # they cut it out of the metal .
    CHI*CHI: but how the names get on it ?
    MELhow ?
    MELmaybe that was the name of the man who made this .
  2. eng_USA_Brown/sarah117.cha, line 73 · Sarah, 4;7.11
    MELmaybe that was the name of the man who made this .
    CHIhullo [: hello] .
    CHI*CHI: how # (a)nd [?] # xxx are # you coming # here # you .
    GAIwho's this ?
    MOTI didn't name her .
  3. eng_USA_Brown/sarah117.cha, line 374 · Sarah, 4;7.11
    MELit is ?
    CHIyeah .
    CHI*CHI: know how to open them # but I guess I do .
    CHIif I say that # that means I do .
    CHIsee ?
  4. eng_USA_Brown/sarah117.cha, line 497 · Sarah, 4;7.11
    CHIuhhuh .
    MELsee if you can measure it .
    CHI*CHI: how you measure it ?
    MELwith your fingers ?
    CHIlike dis ?
  5. eng_USA_Brown/sarah117.cha, line 1013 · Sarah, 4;7.11
    MELup there ?
    CHIyeah # up there .
    CHI*CHI: how much did you grow ?
    MELpretty much .
    MELhigher than that .
  6. eng_USA_Brown/sarah117.cha, line 1126 · Sarah, 4;7.11
    CHIyou wanna have it ?
    GAIno # it's for you .
    CHI*CHI: how'd you know ?
    CHIy(ou) like # I think I like it though .
    CHII never had it .

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_Brown6.56
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah117.chaSarah 4;7.11914666.56

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. how6 · 100.0%