TY  - JOUR
T1  - Rule Based Sentence Segmentation of Indonesian Language
AU - Raharjo, Suwanto AU - Wardoyo, Retantyo AU - E. Putra, Agfianto 
JO  - Journal of Engineering and Applied Sciences
VL  - 13
IS  - 21
SP  - 8986
EP  - 8992
PY  - 2018
DA  - 2001/08/19
SN  - 1816-949x
DO  - jeasci.2018.8986.8992
UR  - https://makhillpublications.co/view-article.php?doi=jeasci.2018.8986.8992
KW  - Sentence detection ambiguity
KW  -SBD
KW  -language Indonesian informatics
KW  -input
KW  -method
KW  -resear
AB  - Sentence detection also known as sentence boundary detection or sentence boundary
disambiguation is one of the study fields in linguistic computation and one of the important stages in the
development of an application or research based on natural language processing. Researches topic on Sentence
Boundary Detection or Sentence Boundary Disambiguation (SBD) for Indonesian language were not get much
intention by researchers as result there are not many paper are written with this topic. The Indonesian language
sentence segmentation problems considered as not a big issues and could be using an English SBD method.
There are could be the reasons why this topic is not get attention. Existing researches are not specially,
discussed on Indonesian language sentence segmentation but only mention as one of stages of research. Two
methods, rule based and machine learning are usually used as sentence segmentation methods in several
languages. The other methods are using statistic based such as maximum entropy, regression tree or using
artificial neural network. This study intended to do sentence segmentation using rule based method on text
Indonesian language and comparing the result with existing sentence segmentation softwares. Two models of
experiment are conducted on developed rules, first, using input sentences that contain ambiguity problems and
second using of many sentences from several kind of input.
ER  -