PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

2.55 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (722 utterances, 2,740 words searched).

  1. look at this . INV · eng_british_Manchester_I/anne27b.cha, line 846 · Anne 2;07
  2. look . INV · eng_british_Manchester_I/anne27b.cha, line 850 · Anne 2;07
  3. let's put them back in this box , look . MOT · eng_british_Manchester_I/anne27b.cha, line 1861 · Anne 2;07
  4. what about having a look at a story ? MOT · eng_british_Manchester_I/anne27b.cha, line 2124 · Anne 2;07
  5. I'm gonna [: going to] look at Goldilocks_and_three_bears . MOT · eng_british_Manchester_I/anne27b.cha, line 2172 · Anne 2;07
  6. you can come and look too if you want to . MOT · eng_british_Manchester_I/anne27b.cha, line 2193 · Anne 2;07
  7. shall I have a look at Goldilocks ? MOT · eng_british_Manchester_I/anne27b.cha, line 2234 · Anne 2;07
  1. CHIcan you drink it all up ?
    MOTI'm gonna [: going to] eat my chips .
    INV*INV: look at this .
    MOTAnne .
    INVlook .
  2. INVlook at this .
    MOTAnne .
    INV*INV: look .
    MOTwhat's Caroline found ?
    MOTice+cream .
  3. MOTthat one's +//.
    MOTthat horse is Caroline's ,, isn't it ?
    MOT*MOT: let's put them back in this box , look .
    MOTthat cake goes in your box ,, doesn't it ?
    MOTyeah ?
  4. MOTyou were doing some nice drawing before ,, weren't you ?
    CHIdon't .
    MOT*MOT: what about having a look at a story ?
    CHIno .
    MOToh .
  5. MOToh .
    MOTwhy not ?
    MOT*MOT: I'm gonna [: going to] look at Goldilocks_and_three_bears .
    MOTI can see +/.
    CHIno .
  6. MOTI'm going to .
    CHIno .
    MOT*MOT: you can come and look too if you want to .
    MOTwell .
    MOTit's no good getting cross .
  7. MOTyou're very cross .
    CHIno .
    MOT*MOT: shall I have a look at Goldilocks ?
    CHIno .
    MOTalright .

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_I2.55
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/anne27b.chaAnne 2;7.132,740772.55

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. look7 · 100.0%