PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

2.95 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (472 utterances, 2,031 words searched).

  1. you can listen to things on it, like a radio . MOT · eng_USA_Valian/02a.cha, line 36 · 02A 1;09
  2. all the things are for you to look at and play with . MOT · eng_USA_Valian/02a.cha, line 254 · 02A 1;09
  3. this book has pictures of lots of things . MOT · eng_USA_Valian/02a.cha, line 1330 · 02A 1;09
  4. but there's lots of things in here to look at . MOT · eng_USA_Valian/02a.cha, line 1360 · 02A 1;09
  5. these are things you know . MOT · eng_USA_Valian/02a.cha, line 1365 · 02A 1;09
  6. here's some things you like to look at . MOT · eng_USA_Valian/02a.cha, line 1483 · 02A 1;09
  1. eng_USA_Valian/02a.cha, line 36 · 02A, 1;9.21
    CHIa, a radio .
    MOTa tape recorder, it's like a radio .
    MOT*MOT: you can listen to things on it, like a radio .
    CHIuh !
    INVso, you know what else I brought besides +/.
  2. eng_USA_Valian/02a.cha, line 254 · 02A, 1;9.21
    MOTyou can put your hands in this bag .
    MOTyou can take out anything you want .
    MOT*MOT: all the things are for you to look at and play with .
    CHIyeah .
    MOTwhat is this ?
  3. eng_USA_Valian/02a.cha, line 1330 · 02A, 1;9.21
    MOTthat's right .
    CHIgiraffe .
    MOT*MOT: this book has pictures of lots of things .
    MOTcome .
    CHIand dat, a &gi, giraffe .
  4. eng_USA_Valian/02a.cha, line 1360 · 02A, 1;9.21
    MOTlet's look at this book .
    CHIno .
    MOT*MOT: but there's lots of things in here to look at .
    MOTuh, what's this ?
    MOTthese are things you know .
  5. eng_USA_Valian/02a.cha, line 1365 · 02A, 1;9.21
    MOTbut there's lots of things in here to look at .
    MOTuh, what's this ?
    MOT*MOT: these are things you know .
    CHIwhat, it is xx those ?
    MOTdo you know what they are ?
  6. eng_USA_Valian/02a.cha, line 1483 · 02A, 1;9.21
    MOTcome over here and let's look some more .
    CHIxxx .
    MOT*MOT: here's some things you like to look at .
    MOThere, this is a good book .
    MOTwhat about these ?

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. 02A eng_USA_Valian2.95
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Valian/02a.cha02A 1;9.212,031662.95

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. things6 · 100.0%