We analyze the rank-frequency distributions of words in selected English and Polish texts. We show that for the lemmatized (basic) word forms the scale-invariant regime breaks after about two decades, while it might be consistent for the whole range of ranks for the inflected word forms. We also find that for a corpus consisting of texts written by different authors the basic scale-invariant re...

background: iran is a land of great heritage of ancient medical scholars. herbal medicines, as a basement of treatment of diseases have been clearly described in the medical texts of these scholars including rhazes, avicenna, and others. numerous plants are introduced in these texts to treat those diseases likely to be infective ones. few attempts have been made to evaluate ethnopharmacological...

This research sought to identify the translation strategies adopted by the translator in Persian translation of 'whatever after, Fairest of all' written by 'Sarah Mlynowski' based on Klingberg's model (1986). To achieve the objectives of the study, a qualitative content analysis design was selected for it. The corpus of the study consisted of 60 pages of the novel 'whatever after, Fairest of al...

A method for generating a machine translation (MT) dictionary from parallel texts is described. This method utilizes both statistical information and linguistic information to obtain corresponding words or phrases in parallel texts. By combining these two types of information, translation pairs which cannot be obtained by a linguistic-based method can be extntcted. Over 70% accurate translation...

In this paper, we describe a method for the detection of plagiarism based on author profiling [1]. After having segmented a document into a set of texts, we apply the technique of predicting the age and gender of the author on these texts. In case the predictions are heterogeneous, the probability of the existence of plagiarism becomes really great. Predicting the gender and age of the author w...

Matching texts in highly inflected languages such as Arabic by simple stemming strategy is unlikely to perform well. In this paper, we present a strategy for automatic text matching technique for for inflectional languages, using Arabic as the test case. The system is an extension of ROUGE test in which texts are matched on token's lemma level. The experimental results show an enhancement of de...

Method: Thirty-three clusters of 50 subjects ≥ 50 years old were randomly selected. Consenting subjects underwent enumeration to establish a demographic profile and thereafter a clinical examination. Visual acuity (VA) was measured with a Tumbling ‘E’ chart; participants having a VA < 6/18 were retested with a pinhole. If no improvement in VA occurred, subjects underwent clinical examination, i...

In the original article, the PCR genotyping protocol contained errors. The genotyping used primers x213 (50-GTATGCAT TACCACGTACGA, intron correct x214 primer sequence is 50-TTTCTCTGGGAATGACAATGC. The correct PCR product sizes are 191 bp for the wild type allele and 249 bp for the floxed allele. These corrections do not affect the conclusions of the paper, and the authors sincerely apologize for...

One of the most prevalent illnesses in Mutravaha Srōtasa (The bodily channel responsible for urine) is Mutrāshmari. Mutrāshmari difficult to treat and requires extra care. Āchārya Sushruta listed it as one Ashta Mahāgada (eight dreadful disorders). It related urolithiasis, or urinary calculi modern medical science. The prevalence rising day a number reasons, including altered eating habits, lif...

A method for generating a machine translation (MT) dictionary from parallel texts is described. This method utilizes both statistical information and linguistic information to obtain corresponding words or phrases in parallel texts. By combining these two types of information, translation pairs which cannot be obtained by a linguistic-based method can be extntcted. Over 70% accurate translation...