Unsupervised Morphological Segmentation Based on Segment Predictability and Word Segments Alignment

author: Delphine Bernhard, TIMC - IMAG
published: Feb. 25, 2007,   recorded: April 2006,   views: 3363

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Description

Word segments are relevant cues for the automatic acquisition of semantic relationships from morphologically related words. Indeed, morphemes are the smallest meaning-bearing units. We present an unsupervised method for the segmentation of words into sub-units devised for this objective. The system relies on segment predictability to discover a set of prefixes and suffixes and performs word segments alignment to detect morpheme boundaries.

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