Whereas both the Namboothiri and Nair dialects have a common nature, the is among the most divergent of dialects, differing considerably from literary Malayalam. The community dialects are: Namboodiri, Nair, Pulaya, and Nasrani. And by the end of the 13th century a written form of the language emerged which was unique from the Tamil-Brahmi script that was used to write Tamil. The Malayalam script began to diverge from the Tamil-Brahmi script in the 8th and 9th centuries CE.
As the language of scholarship and administration, Old-Tamil, which was written in and the Vatteluttu alphabet later, greatly influenced the early development of Malayalam. This is based on the fact that Malayalam and several Dravidian languages on the western coast have common features which are not found even in the oldest historical forms of Tamil., in his 1856 book ' A Comparative Grammar of the Dravidian or South-Indian Family of Languages', opined that Malayalam branched from Classical Tamil and over time gained a large amount of vocabulary and lost the personal terminations of verbs. Some of the major design considerations in design of Anglabharti have been aimed at providing a practical aid for translation.Some scholars however believe that both Tamil and Malayalam developed during the prehistoric period from a common ancestor, 'Proto-Tamil-Dravidian', and that the notion of Malayalam being a 'daughter' of Tamil is misplaced. The unresolved ambiguities are left for human post-editing. An attempt is made to resolve most of the ambiguities using ontology, syntactic & semantic tags and some pragmatic rules. We also use an example-base to identify noun and verb phrasals and resolve their semantics.
Paninian framework based on Sanskrit grammar using Karak (similar to case) relationship provides an uniform way of designing the Indian language text generators. A language specific text-generator converts the 'pseudo-target' code into target language text. We exploit the similarity to a great extent in our system. Within each group the languages exhibit a high degree of structural homogeneity. A set of rules obtained through corpus analysis is used to identify plausible constituents with respect to which movement rules for the `pseudo-target' is constructed. It generates a `pseudo-target' (Pseudo-Interlingua) applicable to a group of Indian languages (target languages) such as Indo-Aryan family (Hindi, Bangla, Asamiya, Punjabi, Marathi, Oriya, Gujrati etc.), Dravidian family (Tamil, Telugu, Kannada & Malayalam) and others. AnglaMT is a pattern directed rule based system with context free grammar like structur e for English (source language).
This project is aimed at the improvisation of phase I system.
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