UNGRADE: UNsupervised GRAph DEcomposition
نویسندگان
چکیده
This article presents an unsupervised algorithm for word decomposition called UNGRADE (UNsupervised GRAph DEcomposition) to segment any word list of any language. UNGRADE assumes that each word follows the structure prefixes, a stem and suffixes without giving a limit on the number of prefixes and suffixes. The UNGRADE’s algorithm works in three steps and is language independent. Firstly, a pseudo stem is found for each word using a window based on Minimum Description Length. Secondly, prefix sequences and suffix sequences are found independently using a graph algorithm called graphbased unsupervised sequence segmentation. Finally, the morphemes from previous steps are joined to provide a segmented word list. We focus purely on the segmentation of words, thus, we employ a trivial method for labeling each morpheme which is the segment of the morpheme itself. UNGRADE is applied to 5 languages (English, German, Finnish, Turkish and Arabic) and results are provided according to their gold standard.
منابع مشابه
Unsupervised Morpheme Discovery with Ungrade
In this paper, we present an unsupervised algorithm for morpheme discovery called UNGRADE (UNsupervised GRAph DEcomposition). UNGRADE works in three steps and can be applied to languages whose words have the structure prefixes-stem-suffixes. In the first step, a stem is obtained for each word using a sliding window, such that the description length of the window is minimised. In the next step p...
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