[jira] [Updated] (OPENNLP-1387) Fix alphaNumOpt in tokenizer example

["Jeff Zemerick (Jira)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/OPENNLP-1387?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Jeff Zemerick updated OPENNLP-1387:
-----------------------------------
    Description: 
The example command for the tokenizer in the documentation is:

{{opennlp TokenizerTrainer -model en-token.bin -alphaNumOpt -lang en -data en-token.train -encoding UTF-8}}

This is an invalid command because the alphaNumOpt parameter must have a value. Running this command as-is will give the error "Number of parameters must be always be even." 

The documentation for alphaNumOpt specifies it must have a value:
{quote}
-alphaNumOpt isAlphaNumOpt
Optimization flag to skip alpha numeric tokens for further tokenization
{quote}

  was:
The example command for the tokenizer in the documentation is:

opennlp TokenizerTrainer -model en-token.bin -alphaNumOpt -lang en -data en-token.train -encoding UTF-8

This is an invalid command because the alphaNumOpt parameter must have a value. Running this command as-is will give the error "Number of parameters must be always be even." 

The documentation for alphaNumOpt specifies it must have a value:
 -alphaNumOpt isAlphaNumOpt
                Optimization flag to skip alpha numeric tokens for further tokenization


> Fix alphaNumOpt in tokenizer example
> ------------------------------------
>
>                 Key: OPENNLP-1387
>                 URL: https://issues.apache.org/jira/browse/OPENNLP-1387
>             Project: OpenNLP
>          Issue Type: Task
>          Components: Documentation, Tokenizer
>    Affects Versions: 1.9.4, 2.0.0
>            Reporter: Jeff Zemerick
>            Priority: Major
>
> The example command for the tokenizer in the documentation is:
> {{opennlp TokenizerTrainer -model en-token.bin -alphaNumOpt -lang en -data en-token.train -encoding UTF-8}}
> This is an invalid command because the alphaNumOpt parameter must have a value. Running this command as-is will give the error "Number of parameters must be always be even." 
> The documentation for alphaNumOpt specifies it must have a value:
> {quote}
> -alphaNumOpt isAlphaNumOpt
> Optimization flag to skip alpha numeric tokens for further tokenization
> {quote}



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