نتایج جستجو برای: statistical language model

تعداد نتایج: 2689345  

Nowadays, a large volume of documents is generated daily. These documents generated by different persons, thus, the documents contain spelling errors. These spelling errors cause quality of the documents are decrease. Therefore, existence of automatic writing assistance tools such as spell checker/corrector can help to improve their quality. Context-sensitive are misspelled words that have been...

Journal: :international journal of society, culture & language 2013
reza pishghadam mohammad reza hashemi elahe bazri

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 (...

Identifying spoken language automatically is to identify a language from the speech signal. Language identification systems can be divided into two categories, spectral-based methods and phonetic-based methods. In the former, short-time characteristics of speech spectrum are extracted as a multi-dimensional vector. The statistical model of these features is then obtained for each language. The ...

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشگاه تبریز 1382

‏‎despite the different criticisms on contrastive analysis it has been proved that the results of it(when processed) can be useful in a tefl environment, specially at the level of phonology.this study is an attempt to compare and contrast the sound systems of kurdish and english for pedagogical aims.the consonants,vowels,stress and intonation of the two languages are described by the same model...

2004
Woosung Kim Sanjeev Khudanpur

Language modeling is critical and indispensable for many natural language applications such as automatic speech recognition and machine translation. Due to the complexity of natural language grammars, it is almost impossible to construct language models by a set of linguistic rules; therefore statistical techniques have been dominant for language modeling over the last few decades. All statisti...

2008
Jesús González-Rubio Germán Sanchis-Trilles Alfons Juan Francisco Casacuberta

We present an extension to IBM Model 1 for training word-to-word lexicon probabilities. This model takes into account a given fixed segmentation of the source and target sentences in the estimation of the statistical dictionary. Our experimentation on the Europarl corpus shows that a statistical consistent improvement in the translation quality can be achieved by including our proposed model as...

Culture is an inseparable part of a language. In other words, mastering a language and being able to communicate through it inevitably entails integrating with the culture of the speakers of that language which is the reflection of people's identity. The aim of the present study was designing a model of Iranian cultural identity. Initially, to select a homogeneous sample of learners at the adva...

Statistical business process is variously designed and implemented in different organizations. This makes it difficult to exchange the knowledge, benefit from the good practices and the cooperation between national and international organizations. In order to solve this problem and help statistical organizations discuss developing statistical metadata systems, General Statistical Business Proce...

1992
Zhi Biao Wu Loke Soo Hsu Chew Lim Tan

This survey attempts to catch up with the recent increasing interests in statistical approach to natural language processing based on large corpora. First of all, a historical overview traces back to 1950s when Noam Chomsky proposed his phrase structure transformation grammar and rejected the Markov process natural language modeling. With the development of large corpora and language modeling i...

Journal: :CoRR 2015
Jiajun Zhang Shujie Liu Mu Li Ming Zhou Chengqing Zong

Language model is one of the most important modules in statistical machine translation and currently the wordbased language model dominants this community. However, many translation models (e.g. phrase-based models) generate the target language sentences by rendering and compositing the phrases rather than the words. Thus, it is much more reasonable to model dependency between phrases, but few ...

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