PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

2.32 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (697 utterances, 1,725 words searched).

  1. enjin wa an [: aru] no ka,, sore ? %mov:"20815"_317529_319811 FAT · japanese_ishii/20815.cha, line 186 · Jun 2;08
  2. a, koori # umi ni ippai an no,, koori ga . %mov:"20815"_1069968_1073131 FAT · japanese_ishii/20815.cha, line 545 · Jun 2;08
  3. dono gohon yatta,, koori ga ippai an no wa ? %mov:"20815"_1079635_1082522 FAT · japanese_ishii/20815.cha, line 551 · Jun 2;08
  4. soko osuna an no ka ? %mov:"20815"_2528761_2528761 FAT · japanese_ishii/20815.cha, line 1172 · Jun 2;08
  1. japanese_ishii/20815.cha, line 186 · Jun, 2;8.15
    CHIhandoru koko . %mov:"20815"_315396_316524
    FAThandoru aru nee . %mov:"20815"_316524_317529
    FAT*FAT: enjin wa an [: aru] no ka,, sore ? %mov:"20815"_317529_319811
    FATmieru ka,, enjin ? %mov:"20815"_319811_321664
    CHIhore . %mov:"20815"_321664_322326
  2. japanese_ishii/20815.cha, line 545 · Jun, 2;8.15
    CHIkoori wa ? %mov:"20815"_1065569_1066787
    CHIumi ga [: ni] ippai an no,, koori . %mov:"20815"_1066787_1069968
    FAT*FAT: a, koori # umi ni ippai an no,, koori ga . %mov:"20815"_1069968_1073131
    CHIkoori an no . %mov:"20815"_1073131_1074297
    FATaa, gohon atta naa,, sonnan . %mov:"20815"_1074297_1075854
  3. japanese_ishii/20815.cha, line 551 · Jun, 2;8.15
    FATdono gohon yatta kke ? %mov:"20815"_1075854_1078250
    CHIn ? %mov:"20815"_1078250_1079635
    FAT*FAT: dono gohon yatta,, koori ga ippai an no wa ? %mov:"20815"_1079635_1082522
    CHIn ? %mov:"20815"_1082522_1084083
    CHIxxx . %mov:"20815"_1084083_1089938
  4. japanese_ishii/20815.cha, line 1172 · Jun, 2;8.15
    FATdoko yatta n xxx . %mov:"20815"_2524309_2525363
    CHIa, koko # a, suna koko ga, osuna an no. %mov:"20815"_2525363_2528761
    FAT*FAT: soko osuna an no ka ? %mov:"20815"_2528761_2528761
    FATsoo . %mov:"20815"_2529664_2530244
    FATdensha notta naa, Jun ? %mov:"20815"_2530244_2531611

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_ishii2.32
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/20815.chaJun 2;8.151,725442.32

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. an4 · 100.0%