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In this research paper, a rule based chunker is developed and evaluated. For the development of the chunker, handcrafted linguistic rules for mainly noun, adverb, verb, adjective phrases and conjuncts were generated. Indian Languages Chunk Tagset is used for annotations. In order to evaluate, 500 sentences of Hindi language tagged by HMM tagger were considered and given as an input to our chunker...
The concept of intelligent agents has emerged from artificial intelligence and cognitive science. These intelligent agents can act as tutors and support students for problem solving in various domains. Agents which are based on the concept of fuzzy logic are termed as fuzzy agents. They can be used in modeling the uncertain behavior of various complex problems and also for predicting the uncertainty...
Machine Translation may be defined as the task of transformation of source text from one language to another. In the following paper, we have discussed the improvement in quality of Machine Translation (MT) using Source text Rewriting. We have performed English to Hindi translation on our MT system and also translation of rewritten English text to Hindi and then compared their performances and evaluated...
Named Entity Recognition (NER) is a very important task in the field of computational linguistics. In the following paper, we have discussed NER in Hindi using Hidden Markov Model (HMM). We have also discussed the challenges faced while performing NER in Indian languages.
Text Simplification is the combination of Lexical Simplification and Syntactic Simplification. In this paper, we have compared baseline approach of Text Simplification with classifier based approach of Text Simplification in improving the quality of English-Hindi Machine Translation. We have compared both approaches using Human Judgment and using Automatic measures BLEU, F-measure and Meteor.
Trust has always played a pivotal role among two individuals or parties in decision making. But, trust is an entity which is not crisp. Due to its imprecise nature, the authors realized the importance of quantifying trust in the world of Internet i.e. while reading a blog of an unknown person or when one's friend writes something about him on a social networking site and also in the real world when...
Machine Translation is one of the research fields of Computational Linguistics. The objective of many MT Researchers is to develop an MT System that produce good quality and high accuracy output translations and which also covers maximum language pairs. As internet and Globalization is increasing day by day, we need a way that improves the quality of translation. For this reason, we have developed...
Urdu is a morphologically rich language that means Urdu words having different variant form of words. In Natural Language Processing, morphology plays an important role. Morphology means study of word structure. In this paper, we focused on Urdu language and developed inflectional and derivational rule based Urdu stemmer. Stemming is a branch of morphology. In general, we can say that Stemming is...
MT evaluation is a very important activity in MT system development. Evaluation of MT systems can help MT developers in understanding the short-comings of their systems and clear focus on the problem areas, so that systems performance can increase. In this paper we have discussed evaluation of some English-Hindi MT engines. For this, we have applied human as well as automatic evaluations of these...
Urdu is a combination of several languages like Arabic, Hindi, English, Turkish, Sanskrit etc. It has a complex and rich morphology. This is the reason why not much work has been done in Urdu language processing. Stemming is used to convert a word into its respective root form. In stemming, we separate the suffix and prefix from the word. It is useful in search engines, natural language processing...
Machine translation is research based area where evaluation is very important phenomenon for checking the quality of MT output. The work is based on the evaluation of English to Urdu Machine translation. In this research work we have evaluated the translation quality of Urdu language which has been translated by using different Machine Translation systems like Google, Babylon and Ijunoon. The evaluation...
Part-of-speech (POS) tagging is a process of assigning the words in a text corresponding to a particular part of speech. A fundamental version of POS tagging is the identification of words as nouns, verbs, adjectives etc. For processing natural languages, Part of Speech tagging is a prominent tool. It is one of the simplest as well as most constant and statistical model for many NLP applications....
Name Entity Translation has become a challenge for the machine translators as it has become a cardinal part of Natural Language Processing Applications. Name Entity comprises of two subtasks i.e. they can either be translated or transliterated with the help of syllabification. This paper describes the translation and transliteration of name entities from English to Punjabi using statistical rule based...
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