PHPCLANCHILDES with regular expressions

8 matches in 8 utterances

7.17 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (333 utterances, 1,116 words searched).

  1. do you think it makes his teeth feel better this , Gail ? MOT · eng_british_Manchester_I/gail31b.cha, line 17 · Gail 2;10
  2. look at this . MOT · eng_british_Manchester_I/gail31b.cha, line 220 · Gail 2;10
  3. look at this . MOT · eng_british_Manchester_I/gail31b.cha, line 222 · Gail 2;10
  4. what's this on my trousers ? MOT · eng_british_Manchester_I/gail31b.cha, line 504 · Gail 2;10
  5. this morning . INV · eng_british_Manchester_I/gail31b.cha, line 715 · Gail 2;10
  6. we discovered that this weekend . INV · eng_british_Manchester_I/gail31b.cha, line 750 · Gail 2;10
  7. has it popped this or not ? MOT · eng_british_Manchester_I/gail31b.cha, line 818 · Gail 2;10
  8. what are you like in this basket ? INV · eng_british_Manchester_I/gail31b.cha, line 900 · Gail 2;10
  1. MOTlook at his teeth .
    MOT*MOT: do you think it makes his teeth feel better this , Gail ?
    CHImmhm .
    INVprobably does .
  2. MOTwe've got some upstairs .
    MOTlift it all off and he'll love that .
    MOT*MOT: look at this .
    MOTlook at this .
    MOTbig pull .
  3. MOTlift it all off and he'll love that .
    MOTlook at this .
    MOT*MOT: look at this .
    MOTbig pull .
    MOToh no .
  4. CHIxxx .
    MOToh no .
    MOT*MOT: what's this on my trousers ?
    CHIdraw .
    CHIthink it's draw [*] .
  5. INVbecause I [//] I left the presents at work .
    INVand I wrapped them up at work .
    INV*INV: this morning .
    INVand she was at nursery .
    CHII 0am [*] going to play+group .
  6. MOTare you ?
    CHIyeah .
    INV*INV: we discovered that this weekend .
    CHIwhat [/] what 0did [*] Caroline left [*] ?
    CHIa ribbon just like these .
  7. CHIxxx .
    MOTwww .
    MOT*MOT: has it popped this or not ?
    CHIno .
    MOTthere , look .
  8. MOTdoes it go very fast ?
    CHIwhat are [*] you like in this basket ?
    INV*INV: what are you like in this basket ?
    MOTwhat would you like .
    CHIwhat you would like ?

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. Gail eng_british_Manchester_I7.17
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/gail31b.chaGail 2;10.081,116887.17

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. this8 · 100.0%