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"Split a document in its sentences"
mahdilashkari
Member Posts: 3 
Contributor I
It has bothered me because I think it should be simple but I have not found any solution for it.
I have a document and I want to split it in its sentences. I used tokenizer component and it only gives me a colored document. I mean I want to extract its sentences and put each sentence in a example set. my process is listed at below.
thanks a lot!
<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<process version="5.3.008">
<context>
<input/>
<output/>
<macros/>
</context>
<operator activated="true" class="process" compatibility="5.3.008" expanded="true" name="Process">
<parameter key="logverbosity" value="init"/>
<parameter key="random_seed" value="2001"/>
<parameter key="send_mail" value="never"/>
<parameter key="notification_email" value=""/>
<parameter key="process_duration_for_mail" value="30"/>
<parameter key="encoding" value="SYSTEM"/>
<process expanded="true">
<operator activated="true" class="text:create_document" compatibility="5.3.000" expanded="true" height="60" name="Create Document" width="90" x="179" y="210">
<parameter key="text" value="He went to USA. I went to Germany."/>
<parameter key="add label" value="false"/>
<parameter key="label_type" value="nominal"/>
</operator>
<operator activated="true" class="text:tokenize" compatibility="5.3.000" expanded="true" height="60" name="Tokenize" width="90" x="447" y="210">
<parameter key="mode" value="linguistic sentences"/>
<parameter key="characters" value=".:"/>
<parameter key="language" value="English"/>
<parameter key="max_token_length" value="3"/>
</operator>
<connect from_op="Create Document" from_port="output" to_op="Tokenize" to_port="document"/>
<connect from_op="Tokenize" from_port="document" to_port="result 1"/>
<portSpacing port="source_input 1" spacing="0"/>
<portSpacing port="sink_result 1" spacing="0"/>
<portSpacing port="sink_result 2" spacing="0"/>
</process>
</operator>
</process>
I have a document and I want to split it in its sentences. I used tokenizer component and it only gives me a colored document. I mean I want to extract its sentences and put each sentence in a example set. my process is listed at below.
thanks a lot!
<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<process version="5.3.008">
<context>
<input/>
<output/>
<macros/>
</context>
<operator activated="true" class="process" compatibility="5.3.008" expanded="true" name="Process">
<parameter key="logverbosity" value="init"/>
<parameter key="random_seed" value="2001"/>
<parameter key="send_mail" value="never"/>
<parameter key="notification_email" value=""/>
<parameter key="process_duration_for_mail" value="30"/>
<parameter key="encoding" value="SYSTEM"/>
<process expanded="true">
<operator activated="true" class="text:create_document" compatibility="5.3.000" expanded="true" height="60" name="Create Document" width="90" x="179" y="210">
<parameter key="text" value="He went to USA. I went to Germany."/>
<parameter key="add label" value="false"/>
<parameter key="label_type" value="nominal"/>
</operator>
<operator activated="true" class="text:tokenize" compatibility="5.3.000" expanded="true" height="60" name="Tokenize" width="90" x="447" y="210">
<parameter key="mode" value="linguistic sentences"/>
<parameter key="characters" value=".:"/>
<parameter key="language" value="English"/>
<parameter key="max_token_length" value="3"/>
</operator>
<connect from_op="Create Document" from_port="output" to_op="Tokenize" to_port="document"/>
<connect from_op="Tokenize" from_port="document" to_port="result 1"/>
<portSpacing port="source_input 1" spacing="0"/>
<portSpacing port="sink_result 1" spacing="0"/>
<portSpacing port="sink_result 2" spacing="0"/>
</process>
</operator>
</process>
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0
Answers
your solution has solved my problem but i want to have the main text as an attribue for each splitted sentence. what should i do?
thanks a lot gain.
- use an example set that contains all documents
- add an ID to the data
- split the data using Cut Document*
- activate keep_text in Process Documents
- Join the original document data to the split data
*) In Cut Document, you have to manually specify a regular expression that detects linguistic sentences. As you can see, the one I invented is not yet perfect.