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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Context

Ignore case Whole words

Scope One transcript: french/lyon_nat12a.cha change

Searching only french/lyon_nat12a.cha. Search all transcripts instead

4 matches in 3 utterances

3.23 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (363 utterances, 1,237 words searched).

Concordance Utterances Distribution Matched forms

et si on www [= ! li] allait chercher ton [//] ton ballon [//] (.) ton ballon jaune . MOT · french/lyon_nat12a.cha, line 672 · Nathan 1;06
on va l(e) chercher viens ! 753130_757235 MOT · french/lyon_nat12a.cha, line 691 · Nathan 1;06
+< viens <on va chercher l(e) ballon> [/] (.) on va chercher l(e) ballon ! MOT · french/lyon_nat12a.cha, line 710 · Nathan 1;06
+< viens <on va chercher l(e) ballon> [/] (.) on va chercher l(e) ballon ! MOT · french/lyon_nat12a.cha, line 710 · Nathan 1;06

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

per 1,000 words

01234

1;051;061;071;08

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/lyon_nat12a.cha	Nathan	1;6.5	1,237	3	4	3.23

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