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. I've got to write , sweetheart . INV · eng_british_Manchester_I/gail31b.cha, line 52 · Gail 2;10
  2. we've got some upstairs . MOT · eng_british_Manchester_I/gail31b.cha, line 215 · Gail 2;10
  3. look what Gail's got . MOT · eng_british_Manchester_I/gail31b.cha, line 238 · Gail 2;10
  4. he's got one . MOT · eng_british_Manchester_I/gail31b.cha, line 344 · Gail 2;10
  5. got them . MOT · eng_british_Manchester_I/gail31b.cha, line 373 · Gail 2;10
  6. because it's got weights in the bottom to make it stand up . MOT · eng_british_Manchester_I/gail31b.cha, line 846 · Gail 2;10
  7. it's got something here , look . MOT · eng_british_Manchester_I/gail31b.cha, line 862 · Gail 2;10
  8. think I've got enough here , haven't I ? MOT · eng_british_Manchester_I/gail31b.cha, line 1088 · Gail 2;10
  1. CHIyou come here .
    INVwell .
    INV*INV: I've got to write , sweetheart .
    CHIhave to find Caroline's horsie today .
    MOTno .
  2. INVthat's an idea .
    MOTbecause he throws those around , doesn't he ?
    MOT*MOT: we've got some upstairs .
    MOTlift it all off and he'll love that .
    MOTlook at this .
  3. MOTlook , Andy .
    MOTlook .
    MOT*MOT: look what Gail's got .
    MOTcall him .
    CHIAndy .
  4. MOTall gone .
    MOToh no .
    MOT*MOT: he's got one .
    MOTyou've seen them .
    MOTquick .
  5. MOThe's seen them .
    MOTxxx .
    MOT*MOT: got them .
    MOTthat's it .
    INVthere's one on the floor .
  6. MOTno .
    MOTI think it might sink .
    MOT*MOT: because it's got weights in the bottom to make it stand up .
    CHIwhere ?
    CHIwhere weights .
  7. CHIwhere's weights ?
    MOTat the bottom .
    MOT*MOT: it's got something here , look .
    MOTdo you see ?
    MOTto make it stand up .
  8. CHIyeah .
    MOTnot bad .
    MOT*MOT: think I've got enough here , haven't I ?
    CHIwhat are [*] you like ?
    INVpardon ?

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. got8 · 100.0%