Knowledge Based Approaches to Nepali Word Sense Disambiguation

نویسندگان

  • Arindam Roy
  • Bipul Syam Purkayastha
چکیده

A word may have multiple senses and the challenge is to find out which particular sense is appropriate in a given context. Word sense disambiguation(WSD) resolves this ambiguity by finding out which particular sense of a word is appropriate in a given context. WSD is of critical importance in the areas of machine translation, information retrieval, speech processing etc. In this paper we present some approaches to Word sense disambiguation in Nepali using Nepali WordNet. These approaches are overlap based approach and conceptual distance and semantic graph based approach which falls under Knowledge based approach. Conceptual distance and semantic graph distance are used as a measures to score our WSD algorithm.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Some Challenges of Automated Annotation in A Multilingual Scenario

A key ingredient of today’s NLP scenario is annotation and this paper discusses challenges involved in one of the toughest annotation tasks which is sense marking. A large amount of data needs to be sense marked accurately by human annotators in order to train the machine to understand the spoken languages. The sense marked corpus for various languages facilitate the task of Word Sense Disambig...

متن کامل

An Insight into Word Sense Disambiguation Techniques

This paper presents various techniques used in the area of Word Sense Disambiguation (WSD). There are a number of techniques such as: Knowledge based approaches, which use the knowledge encoded in Lexical resources; Supervised Machine Leaning methods in which the classifier is made to learn from previously semantically annotated corpus; Unsupervised approaches that form cluster occurrences of w...

متن کامل

Approaches To Word Sense Disambiguation

Removing ambiguous meaning of a word has been an extensive area of research in the field of computational linguistics. This paper presents a comprehensive study of the different dictionary approaches to Word Sense Disambiguation. Three approaches have been explored; graph based, ontology based and knowledge based. All the approaches use a corpus to evaluate words unlike in a machine learning ap...

متن کامل

A Review Of Literature On Word Sense Disambiguation

lexical ambiguity is a fundamental characteristic of language. Words can have more than one distinct meaning. Word sense disambiguation is defined as the problem of computationally determining which”sense”of a word is correct in given context. Word sense disambiguation is a task of classification where word senses are the classes, the context provides the evidence, and each occurrence of a word...

متن کامل

Word Sense Disambiguation using Association Rules: A Review

Now days, Word Sense Disambiguation (WSD) is a vital area which is very useful in today’s world. Many WSD algorithms are available in literature; we have chosen to an optimal and portable WSD algorithm. We are discussed the supervised, unsupervised, and knowledge-based approaches for WSD. In this paper we are discuses that association rules, Knowledge-based WSD, Corpus-based WSD.

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2014