Abstract The area of Natural language processing is emerging. Its reach has moved from international language processing like English to national language processing like Hindi. This paper reviews the work of text summarization in English as well as other languages. The paper discusses the work of extractive text summarization done in Indian languages.... The area of Natural language processing is emerging. Its reach has moved from international language processing like English to national language processing like Hindi. This paper reviews the work of text summarization in English as well as other languages. The paper discusses the work of extractive text summarization done in Indian languages. Read More Read Less

Abstract When applying for jobs abroad, job seekers must translate their resumes. Google Translate can automatically translate any text, but could its translation of resumes be significantly improved by simplifying the sentences in the input resume? Observing that job seekers use incomplete sentences (e.g. bullet points) to "cram in" their resumes with achievements and industry-specific keywords, this paper describes an attempt to improve on Google's... When applying for jobs abroad, job seekers must translate their resumes. Google Translate can automatically translate any text, but could its translation of resumes be significantly improved by simplifying the sentences in the input resume? Observing that job seekers use incomplete sentences (e.g. bullet points) to "cram in" their resumes with achievements and industry-specific keywords, this paper describes an attempt to improve on Google's translation of resumes by re-structuring and simplifying sentences in input resume. Unlike initially hoped however, the proposed modifications barely improved the translations. The conclusions of this case study may be used as further evidence in favor of "Statistical Machine Translation" over "Rule-based Machine Translation" even when translating resumes, or as a preliminary work for further investigating the challenges of resumes automatic translation. Read More Read Less

Abstract The authors used yet another suffix stripper (YASS) to find out the base words or stems for one of the languages of north-east India called Mising Language. There are over 5,00,000 speakers in Mising Language. The Roman scripts are used for Mising Language. Mising Agom Kébang is the highest body of the Mising people and is dedicated for the development of Mising literature.... The authors used yet another suffix stripper (YASS) to find out the base words or stems for one of the languages of north-east India called Mising Language. There are over 5,00,000 speakers in Mising Language. The Roman scripts are used for Mising Language. Mising Agom Kébang is the highest body of the Mising people and is dedicated for the development of Mising literature. The particular suffix remover may be used without in depth knowledge about the language. The authors successfully used the YASS with a F-score of around 87% for finding the stem. In the field of information retrieval, the automatic removals of suffixes are very important. As the mising language does not have a known corpus, the authors created the corpus. Read More Read Less

Abstract The evolution of the Internet and the number of users requires the development of systems increasingly sophisticated and powerful enough to monitor and track this growth. This development calls for the establishment of specialized Information Retrieval Systems (IRS), fast and efficient to meet a very definite need. In response, these systems should be able to carry out several steps, such as enrichment or... The evolution of the Internet and the number of users requires the development of systems increasingly sophisticated and powerful enough to monitor and track this growth. This development calls for the establishment of specialized Information Retrieval Systems (IRS), fast and efficient to meet a very definite need. In response, these systems should be able to carry out several steps, such as enrichment or reformulation of the user query entered in the search box along with other tasks. Enrichment can be enhanced by adding terms to the initial query in order to find the right document. This paper falls within the framework of query enrichment. The main purpose of the study is the enrichment of the user query by using the ODP resource and a set of predefined concepts. The proposed approach will be included in the IRS of a metasearch engine dedicated to the field of higher education. The ODP resource is organized in the form of ontology while the concepts defined are classified into two categories with each having subcategories. The ODP can detect the searched domain by the user. Application classes (AC), contained in the domain, specify the application domain. Utilization classes (UC) specify the exact use of AC. Each utilization class contains a set of patterns used in the first step for detecting the need of the user and thereafter for enrichment. Read More Read Less