Meknavin, Surapant, Paisarn Charoenpornsawat, and Boonserm Kijsirikul.
"Feature-based thai word segmentation." Proceedings of of NLPRS (1997)
reported that accuracy of maximal matching (one that I use) is about
80%. BTW this is the best known algorithm that requires only a few
rules and word list.

By lttoolbox, we may be able to create a word splitter, which is
similar to what Yuen Poovarawan proposed in 1980s. The accuracy is not
supposed to be much different from maximal matching. So I will try
this approach and report you the result in the next mail.

Vee

On 4 January 2017 at 17:11, Francis Tyers <[email protected]> wrote:
> A 2017-01-04 10:45, Vee Satayamas escrigué:
>>> What is the external tool ? How does it work ? What is the licence ?
>>>
>>> My preference in general would be to reproduce
>>> the functionality in Apertium. Word segmentation for languages with
>>> writing
>>> systems that don't write spaces is not something we do (well?, at
>>> all?)
>>> yet
>>> and it would be great functionality to have.
>>>
>>> F.
>>
>> I wrote this one https://github.com/veer66/chamkho. The license is
>> LGPL.
>> It works based on finding a shortest path from directed acyclic graph
>> that is created by word list and some rules e.g. rule for handing
>> white spaces.
>>
>
> How well does it work ? Have you evaluated it ?
>
> If it's a good method we could probably reimplement the algorithm in
> lttoolbox.
>
> Fran
>
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