Word prediction is the problem of guessing the words which are likely to follow in a given text segment by displaying a list of the most probable words that could appear in that position. In this research, we designed and implemented three word predictors for Persian. Our baseline is a statisticalbased system which uses language models. The first system uses word statistics; in the second one w...

Spelling errors in digital documents are often caused by operational and cognitive mistakes, or by the lack of full knowledge about the language of the written documents. Computer-assisted solutions can help to detect and suggest replacements. In this paper, we present a new string distance metric for the Persian language to rank respelling suggestions of a misspelled Persian word by considerin...

Optical Character Recognition (OCR) is a very old and of great interest in pattern recognition field. The recognition of cursive scripts like Persian and Arabic languages is a difficult task as their segmentation suffers from serious problems in different languages. Segmentation is a process of dividing cursive words into smaller parts in order to decrease complexity and increase accuracy of re...

Persian (Farsi) handwriting is inherently cursive and variable in style. Moreover, many Persian characters have similar body but different secondary strokes e.g. dots. As a result, Persian handwriting recognition is an extremely complex task. Many researchers have tackled the problem by different approaches; however, the research in this field is still in its infancy. In this paper, we propose ...

The OGI Multi-language Telephone Speech Corpus is designed to support research on automatic language identi cation and multi-language speech recognition. The corpus consists of up to nine separate responses from each caller, ranging from single words to short topic-speci c descriptions to 60 seconds of unconstrained spontaneous speech. The utterances were spoken over commercial telephone lines ...

conclusions the findings of this study indicate that older children are more proficient in comprehension of color words compared to younger children, and girls are more proficient than boys. the two easiest and two most difficult color words for children to comprehend within the 3 age groups were “black” and “red” and “phosphoric-green” and “turquoise-blue,” respectively. there was a positive r...