Statistical Machine Translation (SMT) is an approach to automatic text translation based on the use of statistical models and examples of translations. Although Machine Translation (MT) systems developed according to other paradigms are still in use, mainly rule-based or example-based MT, SMT dominates academic MT research and has gained significant commercial interest over the last two decades...

We present an integrated approach to speech and natural language processing which uses a single parser to create training for a statistical speech recognition component and for interpreting recognized text. On the speech recognition side, our innovation is the use of a statistical model combining N-gram and context-free grammars. On the natural language side, our innovation is the integration o...

Question and answering service is one of the popular services in the World Wide Web. The main goal of these services is to finding the best answer for user's input question as quick as possible. In order to achieve this aim, most of these use new techniques foe question matching. . We have a lot of question and answering services in Persian web, so it seems that developing a question matching m...

at the pre-test stage, one of the important stages in language testing, items of the test are given to some language learners who are at same level as the target test takers, and through the statistical analysis of their responses, the information such as item facility and item discrimination are gained. also, unreliable and problematic items are distinguished and amended. this research tries t...

This study was conducted to extract first, the underlying factors of Home Culture Attachment Scale (HCAS) and second, to confirm these factors via Structural Equation Modeling (SEM) analysis. To meet this end, the scale was distributed to 374 English language learners in private language institutes in Mashhad, Iran. To determine the construct validity of the scale, Exploratory Factor Analysis (...

The most widespread approach to automatic language identification in the past has been the statistical modeling of phone sequences extracted from speech signals. Recently, we have developed an alternative approach to LID based on n-gram modeling of parallel streams of articulatory features, which was shown to have advantages over phone-based systems on short test signals whereas the latter achi...

This paper describes the statistical machine translation system developed at RWTH Aachen University for the German→English translation task of the EMNLP 2015 Tenth Workshop on Statistical Machine Translation (WMT 2015). A phrase-based machine translation system was applied and augmented with hierarchical phrase reordering and word class language models. Further, we ran discriminative maximum ex...

Chinese Named entity recognition is one of the most important tasks in NLP. Two kinds of Challenges we confront are how to improve the performance in one corpus and keep its performance in another different corpus. We use a combination of statistical models, i.e. a language model to recognize person names and two CRFs models to recognize Location names and Organization names respectively. We al...