PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

3.44 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (697 utterances, 2,037 words searched).

  1. doko ikimasu ka,, kono hikooki wa ? %mov:"30622"_1668124_1671836 FAT · japanese_ishii/30622.cha, line 694 · Jun 3;06
  2. kon [: kono] naka nani haitten no, tankuroorii ? %mov:"30622"_2010851_2012475 FAT · japanese_ishii/30622.cha, line 841 · Jun 3;06
  3. kono basu okashii na . %mov:"30622"_2716527_2717792 FAT · japanese_ishii/30622.cha, line 1130 · Jun 3;06
  4. kono naka ka ? %mov:"30622"_2729050_2729668 FAT · japanese_ishii/30622.cha, line 1138 · Jun 3;06
  5. kono kiiroi no ? %mov:"30622"_2904197_2906211 FAT · japanese_ishii/30622.cha, line 1203 · Jun 3;06
  6. kore hazuren no ka,, kono akai no ? %mov:"30622"_2934813_2937409 FAT · japanese_ishii/30622.cha, line 1220 · Jun 3;06
  7. kono jidoosha moetemasu yoo . %mov:"30622"_3393869_3395465 FAT · japanese_ishii/30622.cha, line 1392 · Jun 3;06
  1. CHIkoko ya . %mov:"30622"_1664231_1665620
    FATxxx . %mov:"30622"_1665620_1668124
    FAT*FAT: doko ikimasu ka,, kono hikooki wa ? %mov:"30622"_1668124_1671836
    CHInto naa, Nippon [//] Amerika iku no ya . %mov:"30622"_1671836_1674451
    FATAmerika iku no . %mov:"30622"_1674451_1675096
  2. CHIouchi tsukuru yoo ni # tankuroorii ga # kita . %mov:"30622"_2005592_2010360
    FATun . %mov:"30622"_2010360_2010851
    FAT*FAT: kon [: kono] naka nani haitten no, tankuroorii ? %mov:"30622"_2010851_2012475
    CHIdoro . %mov:"30622"_2012475_2014255
    FATe ? %mov:"30622"_2014255_2015094
  3. CHIhai, Igirisu desu . %mov:"30622"_2710309_2714516
    CHIIgirisu deesu . %mov:"30622"_2714516_2716527
    FAT*FAT: kono basu okashii na . %mov:"30622"_2716527_2717792
    CHIhai . %mov:"30622"_2717792_2718704
    CHIburokku de dekiten de,, kore . %mov:"30622"_2718704_2724461
  4. FATdoko ga ? %mov:"30622"_2727178_2727806
    CHIso ya . %mov:"30622"_2727806_2729050
    FAT*FAT: kono naka ka ? %mov:"30622"_2729050_2729668
    CHIun . %mov:"30622"_2729668_2729668
    FAThomma, burokku mitai ya naa . %mov:"30622"_2730221_2731547
  5. FATkore hazuren no ? %mov:"30622"_2902729_2903786
    CHIun . %mov:"30622"_2903786_2904197
    FAT*FAT: kono kiiroi no ? %mov:"30622"_2904197_2906211
    CHIun . %mov:"30622"_2906211_2907139
    FATa, honto ya . %mov:"30622"_2907139_2907770
  6. CHInani iro ? %mov:"30622"_2926632_2933860
    CHInani iro ? %mov:"30622"_2933860_2934813
    FAT*FAT: kore hazuren no ka,, kono akai no ? %mov:"30622"_2934813_2937409
    CHIun . %mov:"30622"_2937409_2938428
    FATtoren [: toreru] no ka ? %mov:"30622"_2938428_2939255
  7. FATjidoosha ga moetemasu yoo . %mov:"30622"_3390778_3392100
    CHIdoko ? %mov:"30622"_3392100_3393869
    FAT*FAT: kono jidoosha moetemasu yoo . %mov:"30622"_3393869_3395465
    FATkeshitekudasai . %mov:"30622"_3395465_3396486
    CHIhai . %mov:"30622"_3396486_3403678

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. Jun japanese_ishii3.44
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/30622.chaJun 3;6.222,037773.44

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. kono7 · 100.0%