Sentence Ending in English Language

Abstract

Sentence ending is mainly focus on Semantic technologies related to information extraction techniques which are now in a mature state such that they can be applied to enable a higher level of semantic underpinning in real-world Information Retrieval (IR) systems. This application of semantic technologies to IR tasks is usually referred to as Semantic Search. It seems obvious that understanding documents as more than a weighted bag of terms should improve access to the knowledge that they contain, but this has been tremendously hard to demonstrate in practical systems. The fundamental problem can be solved by finding correct sentence ending in used text of language. Sentence boundaries can identify by one to one alignment of sentences to Hindi, English language. The output of most current automatic speech recognition systems is an unstructured sequence of words. Additional information such as sentence boundaries and speaker labels are useful to improve readability and can provide structure relevant to subsequent language processing, including parsing, topic segmentation and summarization. Text segmentation is determining sentences and word forms. Some times likes in web pages, abbreviations, e-mail addresses, web pages punctuations marks are not indicated which gives ambiguity. This ambiguity makes very hard and complex sentence boundaries determination to solve language.