PHPCLANCHILDES with regular expressions

10 matches in 10 utterances

4.75 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (860 utterances, 2,107 words searched).

  1. densha handoru aru ka ? %mov:"20614"_120425_121572 FAT · japanese_ishii/20614.cha, line 92 · Jun 2;06
  2. mata densha kita . %mov:"20614"_1880509_1881357 FAT · japanese_ishii/20614.cha, line 1070 · Jun 2;06
  3. bakku shiten noo ,, densha ga ? %mov:"20614"_1902172_1902172 FAT · japanese_ishii/20614.cha, line 1080 · Jun 2;06
  4. densha mae ni aru yan . %mov:"20614"_2145244_2147306 FAT · japanese_ishii/20614.cha, line 1191 · Jun 2;06
  5. mohitotsu aru yan ,, ano densha . %mov:"20614"_2152276_2153537 FAT · japanese_ishii/20614.cha, line 1194 · Jun 2;06
  6. densha ka ? %mov:"20614"_2873787_2874934 FAT · japanese_ishii/20614.cha, line 1549 · Jun 2;06
  7. densha . %mov:"20614"_2911091_2912867 FAT · japanese_ishii/20614.cha, line 1571 · Jun 2;06
  8. densha no hoo ga hayai nee ? %mov:"20614"_2960604_2962030 FAT · japanese_ishii/20614.cha, line 1600 · Jun 2;06
  9. densha notte doko iku no ,, otoosan wa [<] . %mov:"20614"_2982528_2985725 FAT · japanese_ishii/20614.cha, line 1616 · Jun 2;06
  10. otoosan densha notte doko iku no ? %mov:"20614"_2986558_2989316 FAT · japanese_ishii/20614.cha, line 1618 · Jun 2;06
  1. CHIdensha no # tsuiteru wa . %mov:"20614"_117156_119101
    CHIkore naa +... %mov:"20614"_119101_120425
    FAT*FAT: densha handoru aru ka ? %mov:"20614"_120425_121572
    CHIhandoru aru wa . %mov:"20614"_121572_122599
    FATnai wa . %mov:"20614"_122599_123283
  2. CHIoyokitemi [?] . %mov:"20614"_1873114_1875096
    CHIdensha gambatta densha kita wa . %mov:"20614"_1875096_1880509
    FAT*FAT: mata densha kita . %mov:"20614"_1880509_1881357
    CHIkoko tsuiteru wa, hore . %mov:"20614"_1881357_1886735
    FATun, nan daro na ? %mov:"20614"_1886735_1887840
  3. FATnan te kaitaan no ? %mov:"20614"_1897940_1898895
    CHIkikikiki@o [= backing up] shiteru wa, hore . %mov:"20614"_1898895_1902172
    FAT*FAT: bakku shiten noo ,, densha ga ? %mov:"20614"_1902172_1902172
    CHIdensha ga bakku shiteu wa . %mov:"20614"_1904995_1907331
    FATun . %mov:"20614"_1907331_1907790
  4. FATe ? %mov:"20614"_2143445_2143972
    CHIdoko ni an no ? %mov:"20614"_2143972_2145244
    FAT*FAT: densha mae ni aru yan . %mov:"20614"_2145244_2147306
    CHIn ? %mov:"20614"_2147306_2147973
    CHIxxx wa . %mov:"20614"_2147973_2152276
  5. CHIn ? %mov:"20614"_2147306_2147973
    CHIxxx wa . %mov:"20614"_2147973_2152276
    FAT*FAT: mohitotsu aru yan ,, ano densha . %mov:"20614"_2152276_2153537
    CHIippataro [: hippatteyaroo] ka ? %mov:"20614"_2153537_2156215
    FATsore hippareru ka ? %mov:"20614"_2156215_2157141
  6. CHIkore wa ? %mov:"20614"_2865475_2866008
    CHIdensha, hore . %mov:"20614"_2866008_2873787
    FAT*FAT: densha ka ? %mov:"20614"_2873787_2874934
    CHImiyo ka ,, densha no ? %mov:"20614"_2874934_2876836
    FATun . %mov:"20614"_2876836_2877280
  7. FATun . %mov:"20614"_2907210_2907808
    CHIkore wa ? %mov:"20614"_2907808_2911091
    FAT*FAT: densha . %mov:"20614"_2911091_2912867
    CHIakikoki [?] kaitaau [: kaitearu] wa . %mov:"20614"_2912867_2916181
    FATe ? %mov:"20614"_2916181_2916637
  8. FATdotchi ga hayai ? %mov:"20614"_2957029_2958260
    CHIhayai ,, dotchi ga ? %mov:"20614"_2958260_2960604
    FAT*FAT: densha no hoo ga hayai nee ? %mov:"20614"_2960604_2962030
    CHIdensha ga ? %mov:"20614"_2962030_2963430
    FATun . %mov:"20614"_2963430_2964132
  9. FATdoko e . %mov:"20614"_2981821_2982528
    CHIbaibaai xxx no [>] . %mov:"20614"_2982528_2985725
    FAT*FAT: densha notte doko iku no ,, otoosan wa [<] . %mov:"20614"_2982528_2985725
    CHIn ? %mov:"20614"_2985725_2986558
    FATotoosan densha notte doko iku no ? %mov:"20614"_2986558_2989316
  10. FATdensha notte doko iku no ,, otoosan wa [<] . %mov:"20614"_2982528_2985725
    CHIn ? %mov:"20614"_2985725_2986558
    FAT*FAT: otoosan densha notte doko iku no ? %mov:"20614"_2986558_2989316
    CHIbasu notte +... %mov:"20614"_2989316_2993399
    CHIa, torakku . %mov:"20614"_2993399_2994397

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_ishii4.75
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/20614.chaJun 2;6.142,10710104.75

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. densha10 · 100.0%