persian natural language processing (nlp) researchers have many limitations to access linguistic tools which are suitable for text processing. therefore, researchin persian text processing is very limited. since dataset is an important requirement for experiments and their evaluation, we aimed to create appropriate corpora for information retrieval and natural language processing in persian. th...

Natural language processing (NLP) methods are designed to automatically process and analyze large amounts of textual data. The integration this new-generation toolbox into sociology faces many challenges. NLP was institutionalized outside sociology, while the expertise has been based on its own research. Another challenge is epistemological: it related validity digital data different viewpoints...

much attention has recently been paid to natural language processing in information storage and retrieval. this paper describes how the application of natural language processing ( nlp ) techniques can enhance cross-language information retrieval ( clir ). using a semi-experimental technique, we took farsi queries to retrieve relevant documents in english. for translating persian queries, we us...

The field of natural language processing (NLP) has seen a dramatic shift in both research direction and methodology in the past several years. In the past, most work in computational linguistics tended to focus on purely symbolic methods. Recently, more and more work is shifting toward hybrid methods that combine new empirical corpus-based methods, including the use of probabilistic and informa...