Pronominal Affix of Bugic Language Enjoyable Dialec

An Affix Removal Stemmer for Natural Language

Stemming is the prerequisite step in Text Mining, Spelling Checker applications as well as a basic requirement for Natural Language Processing (NLP) tasks. Also it is very important in most of the Information Retrieval (IR) systems. This paper describes an affix stripping technique for finding out the stems from context free text in Nepali Language using lexical lookup based and rule based appr...

Induction Of Cross-Language Affix And Letter Sequence Correspondence

We introduce the problem of explicit modeling of form relationships between words in different languages, focusing here on languages having an alphabetic writing system and affixal morphology. We present an algorithm that learns the cross-language correspondence between affixes and letter sequences. The algorithm does not assume prior knowledge of affixes in any of the languages, using only a s...

Affix Trees

Translation of Pronominal Anaphora from English to Telugu Language

Discourses are linguistic structures above sentence level. Discourse is nothing but a coherent sequence of sentences. Discourse analysis is concerned with coherent processing of text segments larger than the sentence and this requires something more than just the interpretation of the individual sentences. A phenomenon that operates at discourse level includes cohesion. Text is cohesive if its ...

Template based affix stemmer for a morphologically rich language

Word stemming is one of the most significant factors that affect the performance of a Natural Language Processing (NLP) application such as Information Retrieval (IR) system, part of speech tagging, machine translation system and syntactic parsing. Urdu language raises several challenges to NLP largely due to its rich morphology. In Urdu language, stemming process is different as compared to th...