PHPCLANCHILDES with regular expressions

Regular expression

Press Enter to search, Shift+Enter for a new line.

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: bilingual_eng_span_Perez/shelia2.cha change

Searching only bilingual_eng_span_Perez/shelia2.cha. Search all transcripts instead

5 matches in 5 utterances

7.97 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (182 utterances, 627 words searched).

Concordance Utterances Distribution Matched forms

a ver espera, te voy a terminar aquí, no? MOT · bilingual_eng_span_Perez/shelia2.cha, line 57 · Sheila 2;08
termino aquí? MOT · bilingual_eng_span_Perez/shelia2.cha, line 58 · Sheila 2;08
aquí? MOT · bilingual_eng_span_Perez/shelia2.cha, line 208 · Sheila 2;08
muy bien, aquí tenemos tres . MOT · bilingual_eng_span_Perez/shelia2.cha, line 217 · Sheila 2;08
hay que poner aquí el número dos . MOT · bilingual_eng_span_Perez/shelia2.cha, line 252 · Sheila 2;08

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

per 1,000 words

0246810

2;072;082;09

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
bilingual_eng_span_Perez/shelia2.cha	Sheila	2;8.	627	5	5	7.97

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