PHPCLANCHILDES with regular expressions

10 matches in 10 utterances

5.46 per 1,000 words of the child (CHI), in 1 of 1 transcripts (786 utterances, 1,830 words searched).

  1. sore tte nande magaru . %mov:"30022"_3624966_3629198 CHI · japanese_ishii/30022.cha, line 1627 · Jun 3;00
  2. magaru naa,, anna . %mov:"30022"_3654063_3656739 CHI · japanese_ishii/30022.cha, line 1636 · Jun 3;00
  3. hora, magaru naa . %mov:"30022"_3657183_3659704 CHI · japanese_ishii/30022.cha, line 1639 · Jun 3;00
  4. kore magaru naa . %mov:"30022"_3666326_3671470 CHI · japanese_ishii/30022.cha, line 1645 · Jun 3;00
  5. kore mo magaru . %mov:"30022"_3687824_3697906 CHI · japanese_ishii/30022.cha, line 1657 · Jun 3;00
  6. hora, kore magaru wa . %mov:"30022"_3698509_3703640 CHI · japanese_ishii/30022.cha, line 1660 · Jun 3;00
  7. kono hoo ga magaru ka naa . %mov:"30022"_3725558_3728196 CHI · japanese_ishii/30022.cha, line 1670 · Jun 3;00
  8. kore mo magaru wa . %mov:"30022"_3729674_3732845 CHI · japanese_ishii/30022.cha, line 1672 · Jun 3;00
  9. kore mo gamaru [: magaru] naa . %mov:"30022"_3747971_3750463 CHI · japanese_ishii/30022.cha, line 1682 · Jun 3;00
  10. magaru . %mov:"30022"_3750878_3751705 CHI · japanese_ishii/30022.cha, line 1684 · Jun 3;00
  1. FATfunya@o te magaru yan ka,, sore . %mov:"30022"_3622283_3624004
    FATdooshita n . %mov:"30022"_3624004_3624966
    CHI*CHI: sore tte nande magaru . %mov:"30022"_3624966_3629198
    CHInaa . %mov:"30022"_3629198_3630428
    CHIare ? %mov:"30022"_3630428_3644994
  2. FATtaiya ga iganden [: yugandeiru] nya wa . %mov:"30022"_3650248_3652033
    FAThora . %mov:"30022"_3652033_3654063
    CHI*CHI: magaru naa,, anna . %mov:"30022"_3654063_3656739
    FATun . %mov:"30022"_3656739_3657183
    CHIhora, magaru naa . %mov:"30022"_3657183_3659704
  3. CHImagaru naa,, anna . %mov:"30022"_3654063_3656739
    FATun . %mov:"30022"_3656739_3657183
    CHI*CHI: hora, magaru naa . %mov:"30022"_3657183_3659704
    FATun . %mov:"30022"_3659704_3660213
    CHIhora . %mov:"30022"_3660213_3661752
  4. FATkore mo [<] magaru naa . %mov:"30022"_3661752_3665525
    CHIun . %mov:"30022"_3665525_3666326
    CHI*CHI: kore magaru naa . %mov:"30022"_3666326_3671470
    CHIkore mo +... %mov:"30022"_3671470_3672667
    FAThashiranai yan,, sore . %mov:"30022"_3672667_3673675
  5. CHIhora . %mov:"30022"_3682772_3686832
    FATsore wa massugu iku naa . %mov:"30022"_3686832_3687824
    CHI*CHI: kore mo magaru . %mov:"30022"_3687824_3697906
    CHIhora . %mov:"30022"_3697906_3698509
    CHIhora, kore magaru wa . %mov:"30022"_3698509_3703640
  6. CHIkore mo magaru . %mov:"30022"_3687824_3697906
    CHIhora . %mov:"30022"_3697906_3698509
    CHI*CHI: hora, kore magaru wa . %mov:"30022"_3698509_3703640
    FAThantai muke shitegoran . %mov:"30022"_3703640_3705209
    FATsoo ya [/] soo ya . %mov:"30022"_3705209_3707716
  7. CHIomoshiroi naa . %mov:"30022"_3722067_3724809
    FATomoshiroi ka ? %mov:"30022"_3724809_3725558
    CHI*CHI: kono hoo ga magaru ka naa . %mov:"30022"_3725558_3728196
    FATsore wa magaranai yaro . %mov:"30022"_3728196_3729674
    CHIkore mo magaru wa . %mov:"30022"_3729674_3732845
  8. CHIkono hoo ga magaru ka naa . %mov:"30022"_3725558_3728196
    FATsore wa magaranai yaro . %mov:"30022"_3728196_3729674
    CHI*CHI: kore mo magaru wa . %mov:"30022"_3729674_3732845
    CHInaa . %mov:"30022"_3732845_3734135
    FATun . %mov:"30022"_3734135_3734659
  9. FATsonna yuuta ? %mov:"30022"_3744313_3745464
    CHIuun@o deen@o . %mov:"30022"_3745464_3747971
    CHI*CHI: kore mo gamaru [: magaru] naa . %mov:"30022"_3747971_3750463
    FATe ? %mov:"30022"_3750463_3750878
    CHImagaru . %mov:"30022"_3750878_3751705
  10. CHIkore mo gamaru [: magaru] naa . %mov:"30022"_3747971_3750463
    FATe ? %mov:"30022"_3750463_3750878
    CHI*CHI: magaru . %mov:"30022"_3750878_3751705
    FATgamaru to chau . %mov:"30022"_3751705_3752708
    FATmagaru ya de . %mov:"30022"_3752708_3753511

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. Jun japanese_ishii5.46
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/30022.chaJun 3;0.221,83010105.46

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. magaru10 · 100.0%