PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

3.47 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (523 utterances, 1,731 words searched).

  1. um # Mickey_Mouse's takin(g) them all on a picnic . GRA · eng_USA_Brown/sarah017.cha, line 1035 · Sarah 2;06
  2. see them goin(g) back home in the car ? GRA · eng_USA_Brown/sarah017.cha, line 1199 · Sarah 2;06
  3. see them on the road ? GRA · eng_USA_Brown/sarah017.cha, line 1207 · Sarah 2;06
  4. see them all sittin(g) in the car ? GRA · eng_USA_Brown/sarah017.cha, line 1211 · Sarah 2;06
  5. count them # with your finger . GRA · eng_USA_Brown/sarah017.cha, line 2054 · Sarah 2;06
  6. yeah # you broke them # and what else did you do ? MOT · eng_USA_Brown/sarah017.cha, line 2220 · Sarah 2;06
  1. eng_USA_Brown/sarah017.cha, line 1035 · Sarah, 2;6.13
    GRAxxx car # they're goin(g) on a picnic .
    CHIpicnic ?
    GRA*GRA: um # Mickey_Mouse's takin(g) them all on a picnic .
    CHIpicnic ?
    CHIhere .
  2. eng_USA_Brown/sarah017.cha, line 1199 · Sarah, 2;6.13
    GRAnow see they're goin(g) back home .
    GRAsee # after a # nice day .
    GRA*GRA: see them goin(g) back home in the car ?
    CHIwhere ?
    GRAright here !
  3. eng_USA_Brown/sarah017.cha, line 1207 · Sarah, 2;6.13
    GRAright here !
    GRAsee ?
    GRA*GRA: see them on the road ?
    GRA(a)n(d) they're goin(g) home ?
    GRAsee them all sittin(g) in the car ?
  4. eng_USA_Brown/sarah017.cha, line 1211 · Sarah, 2;6.13
    GRAsee them on the road ?
    GRA(a)n(d) they're goin(g) home ?
    GRA*GRA: see them all sittin(g) in the car ?
    CHIa sit car ?
    GRAmmhm .
  5. eng_USA_Brown/sarah017.cha, line 2054 · Sarah, 2;6.13
    GRAhow many here ?
    CHIxxx +/.
    GRA*GRA: count them # with your finger .
    GRAcount .
    CHIone # two # three # dere !
  6. eng_USA_Brown/sarah017.cha, line 2220 · Sarah, 2;6.13
    MOTwhat did you do with your crayons ?
    MOTI broke it .
    MOT*MOT: yeah # you broke them # and what else did you do ?
    MOTdid you write on Tony the pony ?
    MOThmm ?

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_Brown3.47
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah017.chaSarah 2;6.131,731663.47

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. them6 · 100.0%