We present statistical models for morphological disambiguation in agglutinative languages,
with a specific application to Turkish. Turkish presents an interesting problem for statistical …

In this paper, we propose a set of language resources for building Turkish language
processing applications. Specifically, we present a finite-state implementation of a …

In this paper, we present a rule based model for morphological disambiguation of Turkish.
The rules are generated by a novel decision list learning algorithm using supervised …

We present a set of language resources and tools—a morphological parser, a
morphological disambiguator, and a text corpus—for exploiting Turkish morphology in …

In this paper we present and evaluate a Brill morphosyntactic transformation-based tagger
adapted for specifics of highly inflectional languages. Multi-phase tagging with grammatical …

In this paper we report our work on building a POS tagger for a morphologically rich
language-Hindi. The theme of the research is to vindicate the stand that-if morphology is …

Agglutinative languages such as Turkish, Finnish andHungarian require morphological
disambiguation beforefurther processing due to the complex morphologyof words. A …

The versatility and depth of Sanskrit have led to its designation as a universal syntax. The
significance of grammar in language translation cannot be exaggerated. Grammar pertains …

In this thesis, the syntactic structure of sentences in unrestricted texts is automatically
modeled using machine learning methods that are capable of learning the structure given …

Sanskrit since many thousands of years has been the oriental language of India. It is the
base for most of the Indian Languages. Ambiguity is inherent in the Natural Language …