
Thai sentences consist of many words that are written consecutively with complicated rules that make word segmentation to be an arduous task. Thai word segmentation has been researched since the 1980s. Beginning with defining the scope of syllables, then developing techniques and algorithms to word segmentation using various methods that divided into three types which are Rules-based technique, Dictionary-based technique, and Learning-based technique. Details of these algorithms will be presented in the following sections.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
