PHPCLANCHILDES with regular expressions

11 matches in 11 utterances

2.68 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (804 utterances, 4,110 words searched).

  1. and finally I said +"/. MOT · eng_USA_Valian/10b.cha, line 519 · 10B 2;05
  2. I think she said she had a lot of toys . MOT · eng_USA_Valian/10b.cha, line 684 · 10B 2;05
  3. and she said +"/. MOT · eng_USA_Valian/10b.cha, line 935 · 10B 2;05
  4. you've said some sentences while I've been here . INV · eng_USA_Valian/10b.cha, line 949 · 10B 2;05
  5. I shouldn't have said that . MOT · eng_USA_Valian/10b.cha, line 1064 · 10B 2;05
  6. then the eleven year old gets in trouble, and she said +"/. MOT · eng_USA_Valian/10b.cha, line 1417 · 10B 2;05
  7. I said, +"/. MOT · eng_USA_Valian/10b.cha, line 1422 · 10B 2;05
  8. she said +"/. MOT · eng_USA_Valian/10b.cha, line 1427 · 10B 2;05
  9. I said +"/. MOT · eng_USA_Valian/10b.cha, line 1432 · 10B 2;05
  10. when we were on the train, I said +"/. MOT · eng_USA_Valian/10b.cha, line 1950 · 10B 2;05
  11. she said +"/. MOT · eng_USA_Valian/10b.cha, line 2405 · 10B 2;05
  1. MOTwe used to try to keep everything on the shelves and it's just really hard to do that .
    MOTmy husband got to be fanatic about it .
    MOT*MOT: and finally I said +"/.
    MOT+" what's the sense .
    MOTthey've gotta play with it, and it's all going in baskets .
  2. CHIa lotta [: lot of] toys .
    INVwhat toys ?
    MOT*MOT: I think she said she had a lot of toys .
    MOTI never heard her say that before .
    INVI'll say you do have a lot of toys .
  3. MOThe's too big, see ?
    MOTthe other day she was um xx, I have a little night light in the kitchen .
    MOT*MOT: and she said +"/.
    MOT+" Parent, see the light ?
    MOT+" see the bear going up the stairs ?
  4. MOTlike now she's talking in just words, but she does say sentences .
    INVyeah, I xx .
    INV*INV: you've said some sentences while I've been here .
    INVI've heard you .
    MOTyou'll just get used to her, and then she'll be gone .
  5. MOTmy daughter won em at Chuckey Cheese or something .
    CHII wanna go to Chuckey Cheese .
    MOT*MOT: I shouldn't have said that .
    CHIwanna go to Chuckey Cheese .
    MOTI know you wanna go to Chuckey Cheese, but xx .
  6. MOTshe touched the curling iron .
    MOTthe second time in a week that she's touched it .
    MOT*MOT: then the eleven year old gets in trouble, and she said +"/.
    MOT+" why .
    MOTI said, +"/.
  7. MOTthen the eleven year old gets in trouble, and she said +"/.
    MOT+" why .
    MOT*MOT: I said, +"/.
    MOT+" you should have told her it was on .
    MOTshe said +"/.
  8. MOTI said, +"/.
    MOT+" you should have told her it was on .
    MOT*MOT: she said +"/.
    MOT+" but it wasn't on, I just turned it off .
    MOTI said +"/.
  9. MOTshe said +"/.
    MOT+" but it wasn't on, I just turned it off .
    MOT*MOT: I said +"/.
    MOT+" but it's still hot when it's off .
    MOTI thought she would have learned, you know, from touching it the first time, but [% unitel] .
  10. MOTxxx it was absolutely pouring, and we thought, well, we'll go anyway .
    MOTand there was nobody there, but yet it was still open .
    MOT*MOT: when we were on the train, I said +"/.
    MOT+" oh God, please can't you stop make it raining .
    MOTthis is really bad .
  11. MOTmy eleven year old was talking to her girl+friend the other day, and they were they were saying +"/.
    MOT+" do you still believe in Santa ?
    MOT*MOT: she said +"/.
    MOT+" yes, my mother says if you really believe, that there is one .
    MOTand I thought, it's really funny, they don't really wanna give it up, but they have a feeling .

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. 10B eng_USA_Valian2.68
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Valian/10b.cha10B 2;5.074,11011112.68

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. said11 · 100.0%