The presence of a language in the digital domain is crucial for its survival, as online communication and resources have become standard last decades will gain more importance coming years. In order to develop advanced systems that are considered basics an efficient (e.g. machine translation systems, text-to-speech speech-to-text converters assistants), it necessary digitalise linguistic create...

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...

How we teach and learn is undergoing a revolution, due to changes in technology and connectivity. Education may be one of the best application areas for advanced NLP techniques, and NLP researchers have much to contribute to this problem, especially in the areas of learning to write, mastery learning, and peer learning. In this paper I consider what happens when we convert natural language proc...

In recent years, there has been a resurgence in research on empirical methods in natural language processing. These methods employ learning techniques to automatically extract linguistic knowledge from natural language corpora rather than require the system developer to manually encode the requisite knowledge. The current special issue reviews recent research in empirical methods in speech reco...

Language technology is becoming increasingly important across a variety of application domains which have become common place in large, well-resourced languages. However, there danger that small, under-resourced languages are being pushed to the technological margins. Under-resourced face significant challenges delivering underlying language resources necessary support such applications. This p...

Natural Language Processing holds great promise for making computer interfaces that are easier to use for people, since people will (hopefully) be able to talk to the computer in their own language, rather than learn a specialized language of computer commands. For programming, however, the necessity of a formal programming language for communicating with a computer has always been taken for gr...

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...