Welcome to the upgraded BRAC University Institutional Repository. We are currently organizing collections after a recent system upgrade. Homepage category counters may temporarily show lower numbers while syncing, but over 27,000 repository items remain safe and accessible. Please use the search bar to find theses, scholarly outputs, and institutional documents.

History (Forward N-Gram) or future (Backward N-Gram)? Which model to consider for N-Gram analysis in Bangla?

Citation

Abstract

This paper presents a directional advantage of n-gram modeling in terms of backward or forward n-gram modeling in Bangla. The most commonly used n-gram analysis is predominantly a forward n-gram. However in Bangla it appears that a backward n-gram is repeatedly more successful and yields more grammatical results than a forward n-gram. This paper hypothesizes that the rationale behind this success is the syntactic ordering of constituents in Bangla. Bangla is a head-final specifier-initial language as opposed to English, which is head-initial specifier-initial. Hence in Bangla, the head comes after its argument in a phrase. If an n-gram analysis begins with a head and moves backwards it will stretch to its own argument but if you move for-wards then you'll probably grab the argument of an-other head. As probability of occurrence of heads is higher, probability of depending on a head is also higher and hence a backward n-gram will probably have a greater chance of yielding grammatical results. We carried out several experiments to compare different directional results in different applications with an advantage in the backward direction. This will prove a useful linguistic insight in terms of n-gram based analysis depending upon variations of constituent analysis.

Description

Includes bibliographical references (page 5).

Publisher Link

Type

Article