PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

21.93 per 1,000 words of the child (CHI), in 1 of 1 transcripts (83 utterances, 228 words searched).

  1. no it 0v not a big one it 0v 0art small one . CHI · bilingual_eng_french_Watkins/a01wat07.cha, line 35 · Jeremy 2;05
  2. no it 0v not a big one . CHI · bilingual_eng_french_Watkins/a01wat07.cha, line 52 · Jeremy 2;05
  3. <e is small ones> [//] is 0s [*] not a small one ? CHI · bilingual_eng_french_Watkins/a01wat07.cha, line 73 · Jeremy 2;05
  4. 0v 0subj [*] not small ones ? CHI · bilingual_eng_french_Watkins/a01wat07.cha, line 75 · Jeremy 2;05
  5. not [<] the big ones . CHI · bilingual_eng_french_Watkins/a01wat07.cha, line 131 · Jeremy 2;05
  1. CHIno !
    FATit's a big one Jeremy .
    CHI*CHI: no it 0v not a big one it 0v 0art small one .
    FATsmall one is it ?
    CHIyes .
  2. CHIthis .
    FATthat's a big one .
    CHI*CHI: no it 0v not a big one .
    FATit's not a big one ?
    CHIno it's a small one .
  3. CHIit's small ones like that .
    FATJeremy, that is a very big one, take that outside take it outside .
    CHI*CHI: <e is small ones> [//] is 0s [*] not a small one ?
    FATwhat ?
    CHI0v 0subj [*] not small ones ?
  4. CHI<e is small ones> [//] is 0s [*] not a small one ?
    FATwhat ?
    CHI*CHI: 0v 0subj [*] not small ones ?
    FATthat's a big one, put that outside too .
    CHIthere's a small one .
  5. FATall right well i think we'll let you leave the small ones in the house for the moment .
    FATcan you put them away ?
    CHI*CHI: not [<] the big ones .
    FAT<now that's a> [//] there's a big one there, that's a big one .
    CHIis the small ones ðɩ@u [=? there] in house .

Matches by age

One dot per transcript: matches per 1,000 words of the child (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. Jeremy bilingual_eng_french_Watkins21.93
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
bilingual_eng_french_Watkins/a01wat07.chaJeremy 2;5.122285521.93

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. not5 · 100.0%