With advancements in industry and information technology, large volumes of electronic
documents such as newspapers, emails, weblogs, and theses are produced daily …

We introduce PerLex, a large-coverage and freely-available morphological lexicon for the
Persian language. We describe the main features of the Persian morphology, and the way …

With improvements in industry and information technology, large volumes of electronic texts
such as newspapers, emails, weblogs, books and thesis are produced daily. Producing …

In this paper, we investigate the problem of Ezafe recognition in Persian language. Ezafe is
an unstressed vowel that is usually not written, but is intelligently recognized and …

Part of speech tagging is one of the most fundamental needs of intelligent text processing,
which is assigning the most appropriate grammatical category to each word on the text …

Persian Ezafe Recognition aims to automatically identify the occurrences of Ezafe (short
vowel/e/) which should be pronounced but usually is not orthographically represented. This …

Tajik Persian is a dialect of Persian spoken primarily in Tajikistan and written with a modified
Cyrillic alphabet. Iranian Persian, or Farsi, as it is natively called, is the lingua franca of Iran …

Text extraction is one of the most intuitive and natural ways in understanding of natural
scene images. Localization is the first and one of the most important steps in this problem. In …

With the emergence of vast resources of information, it is necessary to develop methods that
retrieve the most relevant information according to needs. These retrieval methods may …

We present a novel corpus for automatic punctuation prediction in Persian texts. Punctuation
prediction is an important task in automatic speech recognition (ASR). The output of ASR …