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Word Alignment is an important supporting task for different NLP applications like training of machine translation systems, translation lexicon induction, word sense discovery, word sense disambiguation, information extraction and the cross-lingual projection of linguistic information. In this paper we study the main rules and guidelines required to build an aligner tool for Arabic language which...
Feature selection is a process which chooses a subset from the original feature set according to some rules. The selected feature retains original physical meaning and provides a better understanding for the data and learning process. However, few modern feature selection approaches take the advantage of features' context information. Based on this analysis, we propose a novel feature selection method...
Similar text positioning is a key step in plagiarism detection to decide the position of similar texts in the documents. A 2-step approximate merging method is proposed as follows: Heuristic approximate merging is used for error reduction in processing the text sampling fingers; Clustering methods is used to reduce the disturbance information influence on text positioning when merging the adjacent...
This paper proposes a resolution of overlapping ambiguity in Tibetan word segmentation, which is based on forward-backward scanning identification method and improved maximum probability algorithm. Finally, an experiment is conducted, and the results prove the algorithm is effective.
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