Morphological Analysis from the Raw Kashmiri Corpus Using Open Source Extract Tool
Manzoor Ahmad Chachoo, S. M. K. Quadri · 2012
Purpose: Morphological information is a key part when we consider the design of any machine translation engine, any information retrieval system or any natural language processing application. It is important to investigate how lexicon development can be automated maintaining the quality which makes it of use for the applications, since manual development can be highly time consuming task. The paper describe how we can simply provide the extraction rules along with raw texts which can guide the computerized extraction of morphological information with the help of the extract tool like Extract v2.0. Design/methodology/approach: We used Extract v2.0 which is an open source tool for extracting linguistic information from raw text, and in particular inflectional information on words based on the word forms appearing in the text. The input to the Extract is a file containing, an un-annotated Kashmiri corpus and a file containing the Extract rules for the language. The tools output is the list of analyses; each analysis consists of a sequence of words annotated with a