Speech recognition in Persian (Farsi) has recently been addressed by a few native speaking researchers and some approaches to isolated word and phoneme recognition have been reported. A main bottleneck in this research field is the lack of a recognition-specific speech corpus. In this work, a phonetically balanced speech database of Persian has been modified and used in continuous speech recogn...

many intelligent systems are intended to communicate with users through natural language. Understanding the natural language by the computer is one of the most essential operations in natural language processing. One of the applications of natural languages is in the exams having essay questions. The objective of this paper is to propose a method for designing an examiner machine and creating a...

The current study was planned to investigate the interference of native language in English word recognition and integration skills L1 speakers French Persian. participants were 48 intermediate upper Persian French-speaking EFL learners studying VUB ULB universities Brussels, Belgium. All all, based on results ANCOVA, there a strong positive relationship between learners' their L1(first languag...

purpose: the purpose of the present study is to investigate the image search and retrieval problems in selected search engines in relation to the persian writing style challenges. methodology: this study is an applied one. in orderto answer the questions an evaluative method and direct observation were used. the aim of the research is to explore the morphological and semantic problems of persia...

Most data on the Web is in the form of text or image. Finding desired data on the Web in a timely and cost-effective way is a problem of wide interest. In the last several years, many search engines have been created to help Web users find desired information. In this paper we present a new technique to eliminate the affixes and their effects on recognizing similar Persian documents. Reviewing ...

Named-Entity Recognition (NER) is still a challenging task for languages with low digital resources. The main difficulties arise from the scarcity of annotated corpora and the consequent problematic training of an effective NER pipeline. To abridge this gap, in this paper we target the Persian language that is spoken by a population of over a hundred million people world-wide. We first present ...

In this paper, we investigate the effects of using linguistic information for improvement of statistical machine translation for English-Persian language pair. We choose POS tags as helping linguistic feature. A monolingual Persian corpus with POS tags is prepared and variety of tags is chosen to be small. Using the POS tagger trained on this corpus, we apply a factored translation model. We al...

multi-part words in english language are hyphenated and hyphen is used to separate different parts. persian language consists of multi-part words as well. based on persian morphology, half-space character is needed to separate parts of multi-part words where in many cases people incorrectly use space character instead of half-space character. this common incorrectly use of space leads to some s...

INTRODUCTION Auditory temporal resolution and auditory temporal ordering are two major components of the auditory temporal processing abilities that contribute to speech perception and language development. Auditory temporal resolution and auditory temporal ordering can be evaluated by gap-in-noise (GIN) and pitch-pattern-sequence (PPS) tests, respectively. In this survey, the effect of bilingu...

How do people conceptualize motion events and talk about them? The current study examines how gestural representations of motion events arise from linguistic expressions in Persian, which has characteristics of both Talmy’s satelliteand verb-framed languages. We examined native Persian speakers’ speech and gestures in describing 20 motion events. We focused on two motion event components: path ...