PHPCLANCHILDES with regular expressions

Regular expression

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More conditions (like a second grep)

The utterance must also match

…and must not match

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Speakers

Context

Ignore case Whole words

Scope One transcript: french/york_mona030.cha change

Searching only french/york_mona030.cha. Search all transcripts instead

4 matches in 4 utterances

4.25 per 1,000 words of the child (CHI), in 1 of 1 transcripts (259 utterances, 942 words searched).

Concordance Utterances Distribution Matched forms

après ça sort toum@o toum@o toum@o . 62315_66358 CHI · french/york_mona030.cha, line 98 · Max 2;11
pi [: puis] après on le met là-dedans [= the machine] . 74276_77224 CHI · french/york_mona030.cha, line 112 · Max 2;11
après . 471869_474649 CHI · french/york_mona030.cha, line 517 · Max 2;11
après , &e [=? on va] &f [//] &e [=? on va] cuire celui-là comme ça [= his … CHI · french/york_mona030.cha, line 1494 · Max 2;11

One dot per transcript: matches per 1,000 words of the child (CHI). Dots of the same child are joined.

per 1,000 words

012345

2;102;113;003;01

Age of the child (years;months)

Matches per 1,000 words, all transcripts of each child together, highest first.

All transcripts as a table

Transcript	Child	Age	Words	Utterances matched	Matches	Per 1,000 words
french/york_mona030.cha	Max	2;11.07	942	4	4	4.25

1 different forms (lowercased). Useful to see what a pattern really catches: unexpected forms here usually mean the pattern is too broad.