PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

3.15 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (474 utterances, 1,586 words searched).

  1. do you want to make a train up ? MOT · eng_british_Manchester_I/becky01a.cha, line 186 · Becky 2;00
  2. who shall we put in the train ? MOT · eng_british_Manchester_I/becky01a.cha, line 211 · Becky 2;00
  3. how does the train go ? MOT · eng_british_Manchester_I/becky01a.cha, line 376 · Becky 2;00
  4. are you gonna [: going to] push the train along ? MOT · eng_british_Manchester_I/becky01a.cha, line 380 · Becky 2;00
  5. that's a train . MOT · eng_british_Manchester_I/becky01a.cha, line 1806 · Becky 2;00
  1. CHIseesaw Margery Daw .
    CHIxxx .
    MOT*MOT: do you want to make a train up ?
    CHIwhale up .
    CHIa whale up .
  2. CHIseesaw Margery Daw .
    CHIseesaw Margery Daw .
    MOT*MOT: who shall we put in the train ?
    MOThmm ?
    CHIin .
  3. CHIfishy .
    MOTthere you are .
    MOT*MOT: how does the train go ?
    CHIchoo^choo@o .
    MOTare you gonna [: going to] push the train along ?
  4. MOThow does the train go ?
    CHIchoo^choo@o .
    MOT*MOT: are you gonna [: going to] push the train along ?
    CHIoh .
    MOTyou've got your legs in the way .
  5. MOThow does he go again ?
    CHIchoo^choo@o .
    MOT*MOT: that's a train .
    MOTa horsie goes neigh@o .
    CHIneigh@o .

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. Becky eng_british_Manchester_I3.15
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky01a.chaBecky 2;0.071,586553.15

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. train5 · 100.0%