Functional Morphology: Patterns Rules Sets for Morphological Parsing of Urdu Regular Verbs

Learning Morphological Rules for Amharic Verbs Using Inductive Logic Programming

This paper presents a supervised machine learning approach to morphological analysis of Amharic verbs. We use Inductive Logic Programming (ILP), implemented in CLOG. CLOG learns rules as a first order predicate decision list. Amharic, an under-resourced African language, has very complex inflectional and derivational verb morphology, with four and five possible prefixes and suffixes respectivel...

Morphological Processing of Regular Verbs in Native French Speakers

Over the past decades an extraordinary amount of psycholinguistic and neurolinguistic research has been carried out with the aim of understanding the nature of lexical representations and how these representations are accessed as we listen to or read words. The question that drives much of this research is whether the language processing system has access to a morpheme-based route to recognize ...

Inferring Subcat Frames of Verbs in Urdu

This paper describes an approach for inferring syntactic frames of verbs in Urdu from an untagged corpus. Urdu, like many other South Asian languages, is a free word order and case-rich language. Separable lexical units mark different constituents for case in phrases and clauses and are called case clitics. There is not always a one to one correspondence between case clitic form and case, and c...

Context Rules Chart Seeding ( to Parsing ) Irregulars and Morphological Rules Morphological Analysis Tagged

Verb Sets = Computational Verbs + Sets

A computational verb set (verb set for short) consists of a computational verb and a crisp set or a fuzzy set. Verb sets generalize the other sets from linguistic structure “BE+statement” to “verb+statement”. Verb sets are strongly connected to computational verbs and their contexts. In this paper, the framework of verb sets and some basic concepts and properties of verb sets are given. An appl...