PHPCLANCHILDES with regular expressions

9 matches in 9 utterances

2.79 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (800 utterances, 3,230 words searched).

  1. how many eyes? MOT · downs-flusberg/martin05.cha, line 154
  2. how many ears? MOT · downs-flusberg/martin05.cha, line 217
  3. how many? MOT · downs-flusberg/martin05.cha, line 351
  4. how many eyes? MOT · downs-flusberg/martin05.cha, line 355
  5. and how many ears should he have? MOT · downs-flusberg/martin05.cha, line 437
  6. how many ears is he suppose to have? MOT · downs-flusberg/martin05.cha, line 439
  7. how many people are eating? MOT · downs-flusberg/martin05.cha, line 1150
  8. how many people? MOT · downs-flusberg/martin05.cha, line 1159
  9. how many can you put on top? MOT · downs-flusberg/martin05.cha, line 1382
  1. MOTwhat else should we put in the face?
    CHIeye.
    MOT*MOT: how many eyes?
    CHI<one, two> [/?].
    MOTtwo.
  2. CHIear.
    CHIone, two ear.
    MOT*MOT: how many ears?
    CHIear.
    CHIone, two ears.
  3. MOTyou forgot this.
    CHIgot <one, two> [/?] three eye.
    MOT*MOT: how many?
    CHI<one, two> [/?] three eyes.
    MOTcount those.
  4. MOTcount those.
    CHI<one, two> [/?].
    MOT*MOT: how many eyes?
    CHI<one, two> [/?].
    MOTtwo eyes.
  5. CHIyeah.
    MOTpush it in, ok.
    MOT*MOT: and how many ears should he have?
    CHI<one> [/?] one.
    MOThow many ears is he suppose to have?
  6. MOTand how many ears should he have?
    CHI<one> [/?] one.
    MOT*MOT: how many ears is he suppose to have?
    CHIone.
    MOThow about the other side?
  7. CHIxxx.
    CHIlook mom.
    MOT*MOT: how many people are eating?
    CHI<one, two, three> [/?].
    CHI<one, two, two> [/?].
  8. MOTcount the people.
    CHI<one, two, three, four> [/?].
    MOT*MOT: how many people?
    CHI<one two three> [/?].
    CHI<one two three four> [/?].
  9. CHIhere another <m> [/?].
    CHIthere another <m> [/?].
    MOT*MOT: how many can you put on top?
    MOTcan you put another one on top of there?
    CHIxxx mom.

Matches by child

Matches per 1,000 words, all transcripts of each child together, highest first.

  1. Martin downs-flusberg2.79
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
downs-flusberg/martin05.chaMartin 3,230992.79

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. many9 · 100.0%