PHPCLANCHILDES with regular expressions

8 matches in 8 utterances

7.48 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (256 utterances, 1,069 words searched).

  1. how tall (i)s it going to be ? MOT · eng_british_Manchester_I/carl30b.cha, line 193 · Carl 2;07
  2. how many cows have you got ? MOT · eng_british_Manchester_I/carl30b.cha, line 727 · Carl 2;07
  3. how many have you got ? MOT · eng_british_Manchester_I/carl30b.cha, line 731 · Carl 2;07
  4. now how many cows have you got ? MOT · eng_british_Manchester_I/carl30b.cha, line 741 · Carl 2;07
  5. how many have you got ? MOT · eng_british_Manchester_I/carl30b.cha, line 747 · Carl 2;07
  6. how many have you got ? MOT · eng_british_Manchester_I/carl30b.cha, line 755 · Carl 2;07
  7. how many do you think you'll need ? MOT · eng_british_Manchester_I/carl30b.cha, line 849 · Carl 2;07
  8. how many blocks do you think you'll need ? MOT · eng_british_Manchester_I/carl30b.cha, line 851 · Carl 2;07
  1. MOTthat's it .
    CHIwhoops .
    MOT*MOT: how tall (i)s it going to be ?
    CHIit's going under the train .
    CHIwhite .
  2. MOTthere's another one .
    CHItwo cows .
    MOT*MOT: how many cows have you got ?
    MOTyou've got more than two .
    MOThow many have you got ?
  3. MOThow many cows have you got ?
    MOTyou've got more than two .
    MOT*MOT: how many have you got ?
    CHIone [/] one two three .
    MOTthat's right .
  4. MOTyou've got three cows .
    CHIcrunch .
    MOT*MOT: now how many cows have you got ?
    CHIblack ones .
    MOTno .
  5. CHIblack ones .
    MOTno .
    MOT*MOT: how many have you got ?
    CHIwhite .
    MOTcount them .
  6. MOTcount them .
    CHIand black .
    MOT*MOT: how many have you got ?
    CHIone two .
    MOTtwo .
  7. MOTpull them off .
    CHIthe xxx .
    MOT*MOT: how many do you think you'll need ?
    MOThow many blocks do you think you'll need ?
    CHIno .
  8. CHIthe xxx .
    MOThow many do you think you'll need ?
    MOT*MOT: how many blocks do you think you'll need ?
    CHIno .
    CHIneed a slide .

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. Carl eng_british_Manchester_I7.48
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/carl30b.chaCarl 2;7.031,069887.48

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. how8 · 100.0%