A spell checker for a low-resourced and morphologically rich language
Date of Publication
2017
Document Type
Master's Thesis
Degree Name
Master of Science in Computer Science
College
College of Computer Studies
Department/Unit
Computer Science
Thesis Adviser
Allan B. Borra
Defense Panel Chair
Joel P. Ilao
Defense Panel Member
Rachel Edita O. Roxas
Charibeth K. Cheng
Merlin Teodosia C. Suarez
Abstract/Summary
Spell checking plays an important role in improving the quality of documents. Various e orts have been made towards advancement of spell checkers on other languages such as in English that has almost perfected spell checking system (e.g. Microsoft Word). However, few efforts were made to develop an efficient Filipino spell checkers. One major challenge of existing Filipino spell checkers, being dictionary based, is the lack of a complete dictionary to capture all infected forms (e.g. isinasama `including', isasama `will be included', and isinama `included' with the base form sama `include'), borrowing (e.g. magtex `to text' and nagtex `texted'), and code-switching (e.g. mag-text `to text', and magte-text `will be texting', and nag-text `texted' with the base form `text') of a word. Another is that existing systems cannot handle code-switching wherein the words that are valid is marked incorrect. In this research, a combined automaton and N-gram approach of spell checking is proposed for Filipino, a morphologically rich and low-resourced language. Furthermore, the research introduce a modi cation of metaphone algorithm to incorporate in the language for ranking the suggestion of the system based on phonetics. The system results to 81% recall, 53.64% precision, 64.53% f-measure, and 87.78% suggestion adequacy on 100 sentences taken from exercise documents of Filipino students.
Abstract Format
html
Language
English
Format
Electronic
Accession Number
CDTG007265A
Shelf Location
Archives, The Learning Commons, 12F Henry Sy Sr. Hall
Physical Description
1 disc ; 4 3/4 inches
Keywords
Machine theory; Filipino language--Orthography and spelling--Computer programs
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Recommended Citation
Octaviano, M. V. (2017). A spell checker for a low-resourced and morphologically rich language. Retrieved from https://animorepository.dlsu.edu.ph/etd_masteral/5603