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"Buenos dias", "buenas noches" -- this was the first words in a foreign language I heard in my life, as a three-year old boy growing up in developing post-war Western Germany, where the first gastarbeiters had arrived from Spain. Fascinated by the strange sounds, I tried to get to know some more languages, the only opportunity being TV courses of English and French -- there was no foreign language education for pre-teen school children in Germany yet in those days. Read more



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What is English? And Why Should We Care?

By: Tim William Machan

To find some answers Tim Machan explores the language's present and past, and looks ahead to its futures among the one and a half billion people who speak it. His search is fascinating and important, for definitions of English have influenced education and law in many countries and helped shape the identities of those who live in them.


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Medical Writing in Early Modern English

Edited by Irma Taavitsainen and Paivi Pahta

This volume provides a new perspective on the evolution of the special language of medicine, based on the electronic corpus of Early Modern English Medical Texts, containing over two million words of medical writing from 1500 to 1700.


Academic Paper


Title: Semantic-Net Based Information Retrieval System
Author: Arimardan Kumar Tripathi
Email: click here to access email
Homepage: http://www.hinditech.co.in/
Institution: MGAHV, Wardha
Linguistic Field: Computational Linguistics
Subject Language: Hindi
Abstract: Information Retrieval is one of the most challenging and enormous fields of Natural Language Processing. In the present social scenario 'information' is treated as not only knowledge but also as constituents of power in its context with its own property.

In this corpus, which represents natural language into language oriented computational behaviors, syntax is the key feature for information point of view, which can be covered through some punctuation marks, available in the texts. For retrieving information from any text, the supportive database of a hierarchically mapped semantic net should be prepared in concerned languages, and the corpus should be POS and syntactically tagged.

The role of a semantic net is central in this process, therefore it's database will be normalized. The result query will cover all the probable results despite mistakes committed by humans, like spelling and orthographic variations (etc.). In real time processing, the first query will go into the semantic net, then it will match the relevant text according to that query. That is why a hierarchically mapped and normalized database will be more helpful to get results with sorted frame.

Although in this model preprocessing is required within the certain adopted framework at several levels, such as tagging, normalizing and hierarchical mapping of data as per its use and role in society. In its result, however, there is no need of post processing; the result will be indexed according to the mapped hierarchy so that output will be relevant and well matched to queries.

In this model, stemming and ambiguity resolution of a given query will be helpful in matching. Codification of stop words will increase the speed of system processing.
Type: Individual Paper
Status: Completed
Publication Info: M.Phil. Project at Mahatma Gandhi International Hindi University, Wardha, India.


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