A spell checker for a low-resourced and morphologically rich language

Spell checking plays an important role in improving the quality of documents by identifying misspelled words in the document. There are various efforts 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 checker. One major challenge of existing Filipino spell checkers, being dictionary-based, is the lack of a complete dictionary to capture all inflected 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. magtext `to text', and nag-text `texted' with the base form `text') of a word. In addition, existing systems cannot handle code-switching wherein valid words are being marked as erroneous. In this research, a spell checking is designed for Filipino-low-resourced morphologically rich language. It detects and corrects typographical errors in the language and introduces a modified version of metaphone algorithm for ranking the candidate suggestions. 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.