PHPCLANCHILDES with regular expressions

6 matches in 5 utterances

2.66 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (439 utterances, 2,252 words searched).

  1. did you go on the train or come back on the train ? MOT · eng_USA_Brown/adam39.cha, line 34 · Adam 3;10
  2. did you go on the train or come back on the train ? MOT · eng_USA_Brown/adam39.cha, line 34 · Adam 3;10
  3. what happened on the train ? MOT · eng_USA_Brown/adam39.cha, line 288 · Adam 3;10
  4. what did you do on the train ? MOT · eng_USA_Brown/adam39.cha, line 290 · Adam 3;10
  5. yes # they were going to get on their train . MOT · eng_USA_Brown/adam39.cha, line 973 · Adam 3;10
  6. an elephant in a train . MOT · eng_USA_Brown/adam39.cha, line 1002 · Adam 3;10
  1. eng_USA_Brown/adam39.cha, line 34 · Adam, 3;10.15
    MOThow did you go to North_Carolina ?
    CHItrain .
    MOT*MOT: did you go on the train or come back on the train ?
    CHIcome back on the train [?] .
    MOThow did you get there # Adam ?
  2. eng_USA_Brown/adam39.cha, line 288 · Adam, 3;10.15
    CHIdoes she have the bow ?
    URSnot today I don't .
    MOT*MOT: what happened on the train ?
    MOTwhat did you do on the train ?
    CHIsleep in the sleeping car .
  3. eng_USA_Brown/adam39.cha, line 290 · Adam, 3;10.15
    URSnot today I don't .
    MOTwhat happened on the train ?
    MOT*MOT: what did you do on the train ?
    CHIsleep in the sleeping car .
    MOTwe were sitting in chairs and we went out .
  4. eng_USA_Brown/adam39.cha, line 973 · Adam, 3;10.15
    MOTwhere were they going ?
    CHIon de train .
    MOT*MOT: yes # they were going to get on their train .
    CHIawoh .
    CHII can't .
  5. eng_USA_Brown/adam39.cha, line 1002 · Adam, 3;10.15
    MOTwhat kind of animal ?
    CHIa elephant in a train .
    MOT*MOT: an elephant in a train .
    CHIcircus elephant .
    MOTwhat does the elephant do in a circus ?

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/adam39.chaAdam 3;10.152,252562.66

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. train6 · 100.0%