PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

2.66 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (420 utterances, 1,877 words searched).

  1. here's some paper . URS · eng_USA_Brown/adam50.cha, line 132 · Adam 4;07
  2. no # d(o) you know where some scissors are ? URS · eng_USA_Brown/adam50.cha, line 276 · Adam 4;07
  3. oh # you have some friends who know a lot . MOT · eng_USA_Brown/adam50.cha, line 1149 · Adam 4;07
  4. well # you give me the scissors and I'll let Paul cut some . MOT · eng_USA_Brown/adam50.cha, line 1192 · Adam 4;07
  5. there are always some more . URS · eng_USA_Brown/adam50.cha, line 2617 · Adam 4;07
  1. eng_USA_Brown/adam50.cha, line 132 · Adam, 4;7.01
    CHIright quick .
    URSalright .
    URS*URS: here's some paper .
    URShere's a good pen .
    CHIthat's a good pen # isn't it ?
  2. eng_USA_Brown/adam50.cha, line 276 · Adam, 4;7.01
    CHId(o) you have scissors ?
    CHII'm gonna cut dis out .
    URS*URS: no # d(o) you know where some scissors are ?
    CHIyeah .
    CHIand I'm gonna send dat to my +...
  3. eng_USA_Brown/adam50.cha, line 1149 · Adam, 4;7.01
    CHII just know by itself .
    CHIand my friends tell me all about it .
    MOT*MOT: oh # you have some friends who know a lot .
    CHIuhhuh .
    MOTwho are those friends ?
  4. eng_USA_Brown/adam50.cha, line 1192 · Adam, 4;7.01
    MOTwell # why don't you let Paul play with it while you're doing that ?
    CHII'm finished now .
    MOT*MOT: well # you give me the scissors and I'll let Paul cut some .
    CHIdon't let him cut none of mine .
    MOTwell # this just what you didn't want .
  5. eng_USA_Brown/adam50.cha, line 2617 · Adam, 4;7.01
    CHIwhich way you try ?
    URSyou push this .
    URS*URS: there are always some more .
    CHIthere's always some coming in ?
    URSyeah .

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. Adam eng_USA_Brown2.66
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/adam50.chaAdam 4;7.011,877552.66

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. some5 · 100.0%