PHPCLANCHILDES with regular expressions

8 matches in 5 utterances

9.30 per 1,000 words of the child (CHI), in 1 of 1 transcripts (292 utterances, 860 words searched).

  1. I gonna do step in time [% begins to dance and sing] . CHI · eng_USA_Valian/17a.cha, line 705 · 17A 2;05
  2. step in time ! CHI · eng_USA_Valian/17a.cha, line 709 · 17A 2;05
  3. step in time, step in time . CHI · eng_USA_Valian/17a.cha, line 1104 · 17A 2;05
  4. step in time, step in time . CHI · eng_USA_Valian/17a.cha, line 1104 · 17A 2;05
  5. step in time, step in time [% inv laughs] . CHI · eng_USA_Valian/17a.cha, line 1128 · 17A 2;05
  6. step in time, step in time [% inv laughs] . CHI · eng_USA_Valian/17a.cha, line 1128 · 17A 2;05
  7. step in time, step in time [% CHI continues singing] . CHI · eng_USA_Valian/17a.cha, line 1130 · 17A 2;05
  8. step in time, step in time [% CHI continues singing] . CHI · eng_USA_Valian/17a.cha, line 1130 · 17A 2;05
  1. INVoh, is that your step in time hat ?
    CHIyeah .
    CHI*CHI: I gonna do step in time [% begins to dance and sing] .
    INVo:h, boy !
    CHIstep in time !
  2. CHII gonna do step in time [% begins to dance and sing] .
    INVo:h, boy !
    CHI*CHI: step in time !
    MOTyou like to dance don't you [% CHI begins to dance again] ?
    INVboy, that's great !
  3. INVwhat's me ?
    INVstep in time .
    CHI*CHI: step in time, step in time .
    MOT[- CHI jumps on inv] oh, Child, easy !
    INV[- laughs and tries to direct CHI's attention to less athletic activity] I like your hat .
  4. INVoh oh [% as CHI prepares to attack again] .
    CHIlucka@wp lucka@wp [% inv and MOT laugh] .
    CHI*CHI: step in time, step in time [% inv laughs] .
    CHIstep in time, step in time [% CHI continues singing] .
    MOThey, Child, Child, why don't you show Biddy ?
  5. CHIlucka@wp lucka@wp [% inv and MOT laugh] .
    CHIstep in time, step in time [% inv laughs] .
    CHI*CHI: step in time, step in time [% CHI continues singing] .
    MOThey, Child, Child, why don't you show Biddy ?
    MOTwho's this over here ?

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. 17A eng_USA_Valian9.30
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Valian/17a.cha17A 2;5.14860589.30

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. time8 · 100.0%