PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

5.98 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (323 utterances, 1,004 words searched).

  1. tell Kent who was here today . MOT · eng_USA_Brown/sarah064.cha, line 23 · Sarah 3;06
  2. who was here this mornin(g) ? MOT · eng_USA_Brown/sarah064.cha, line 37 · Sarah 3;06
  3. Gloria wasn't here . MOT · eng_USA_Brown/sarah064.cha, line 41 · Sarah 3;06
  4. oh # it means come here +... MOT · eng_USA_Brown/sarah064.cha, line 1084 · Sarah 3;06
  5. come here ? MOT · eng_USA_Brown/sarah064.cha, line 1086 · Sarah 3;06
  6. here's a four . MOT · eng_USA_Brown/sarah064.cha, line 1293 · Sarah 3;06
  1. eng_USA_Brown/sarah064.cha, line 23 · Sarah, 3;6.06
    CHIthe things .
    MOTyou don't like cookies # do ya ?
    MOT*MOT: tell Kent who was here today .
    CHICourtney was here .
    MOT(a)n(d) who else came ?
  2. eng_USA_Brown/sarah064.cha, line 37 · Sarah, 3;6.06
    MOTno .
    MOTwho else besides Courtney and Kent ?
    MOT*MOT: who was here this mornin(g) ?
    CHIGloria .
    MOTGloria wasn't here .
  3. eng_USA_Brown/sarah064.cha, line 41 · Sarah, 3;6.06
    MOTwho was here this mornin(g) ?
    CHIGloria .
    MOT*MOT: Gloria wasn't here .
    MOTUncle_Tommy +...
    CHIUncle_Tommy +...
  4. eng_USA_Brown/sarah064.cha, line 1084 · Sarah, 3;6.06
    MOTwhat's that ?
    CHIthat will means # <come here> [/] # come here .
    MOT*MOT: oh # it means come here +...
    MOTcome here ?
    MOTsays who ?
  5. eng_USA_Brown/sarah064.cha, line 1086 · Sarah, 3;6.06
    CHIthat will means # <come here> [/] # come here .
    MOToh # it means come here +...
    MOT*MOT: come here ?
    MOTsays who ?
    CHIsaid you .
  6. eng_USA_Brown/sarah064.cha, line 1293 · Sarah, 3;6.06
    MOTnow # let's see .
    MOT(a)n(d) I go first .
    MOT*MOT: here's a four .
    MOTone # two # no that's not mine .
    MOTone # two # three # four .

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. Sarah eng_USA_Brown5.98
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah064.chaSarah 3;6.061,004665.98

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. here6 · 100.0%