PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

3.31 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (566 utterances, 1,812 words searched).

  1. shall we find a little man to put in the helicopter ? MOT · eng_british_Manchester_I/anne03a.cha, line 539 · Anne 1;11
  2. where's this man going to go ? MOT · eng_british_Manchester_I/anne03a.cha, line 581 · Anne 1;11
  3. shall we make the man go through the mine ? MOT · eng_british_Manchester_I/anne03a.cha, line 617 · Anne 1;11
  4. here's the man . MOT · eng_british_Manchester_I/anne03a.cha, line 626 · Anne 1;11
  5. is the man gonna [: going to] go down the slide ? MOT · eng_british_Manchester_I/anne03a.cha, line 786 · Anne 1;11
  6. poor man . MOT · eng_british_Manchester_I/anne03a.cha, line 853 · Anne 1;11
  1. eng_british_Manchester_I/anne03a.cha, line 539 · Anne, 1;11.04
    CHIwhere's it go [*] ?
    MOThere's the helicopter .
    MOT*MOT: shall we find a little man to put in the helicopter ?
    CHIyeah .
    MOTyeah ?
  2. eng_british_Manchester_I/anne03a.cha, line 581 · Anne, 1;11.04
    MOTthere's not room for the lorry too ,, is there ?
    CHIxxx .
    MOT*MOT: where's this man going to go ?
    CHIhere .
    MOThere ?
  3. eng_british_Manchester_I/anne03a.cha, line 617 · Anne, 1;11.04
    CHIoh .
    MOTthere's the lorry .
    MOT*MOT: shall we make the man go through the mine ?
    MOTand land in the car ?
    MOThere we go .
  4. eng_british_Manchester_I/anne03a.cha, line 626 · Anne, 1;11.04
    MOThere we go .
    MOTput the car in .
    MOT*MOT: here's the man .
    MOTdown the mine .
    MOTinto the car .
  5. eng_british_Manchester_I/anne03a.cha, line 786 · Anne, 1;11.04
    CHIoh dear .
    CHIdown .
    MOT*MOT: is the man gonna [: going to] go down the slide ?
    CHIxxx .
    CHIxxx funny .
  6. eng_british_Manchester_I/anne03a.cha, line 853 · Anne, 1;11.04
    CHIxxx .
    MOToh .
    MOT*MOT: poor man .
    CHIgone .
    MOTdo you think he wants to go in the house instead ?

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. Anne eng_british_Manchester_I3.31
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/anne03a.chaAnne 1;11.041,812663.31

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. man6 · 100.0%