This paper introduces the first pattern-based Persian Temporal Relation Classifier (PTRC) that finds the type of temporal relations between pairs of events in the Persian texts. The proposed system uses support vector machines (SVMs) equipped by combinations of simple, convolution tree, and string subsequence kernels (SSK). In order to evaluate the algorithm, we have developed a Persian TimeBan...

Abstract Using rhetorical figures in specialized languages like the language of newspaper headlines is common. The present study attempted to conduct a contrastive analysis of the English and Persian sport newspaper headlines related to the 2014 FIFA World Cup. Toward this end, a corpus consisting of 400 English and 400 Persian headlines published during 12th of June to 13th of July, 2014 was c...

Hedges, as tools to express tentativeness and doubt, have been studied in plenty of research papers in the Iranian EFL research setting. However, their use in a learner corpus, portraying Iranian learner English, is in need of more research attention. With this end in view, this study aimed at investigating how Iranian EFL learners who have majored in English-related fields in Iran deployed hed...

Translation is not merely a mater of linguistics. The major goal the present paper to investigate relationship between ‘culture’ and ‘translation’. To this end, researcher drew on corpus from English Persian languages. findings indicated that although different languages, like Persian, employ linguistic forms, variety cannot be considered as real challenge. Since during process translation, sou...

In this paper, we describe the details of the ASPEC (Asian Scientific Paper Excerpt Corpus), which is the first large-size parallel corpus of scientific paper domain. ASPEC was constructed in the Japanese-Chinese machine translation project conducted between 2006 and 2010 using the Special Coordination Funds for Promoting Science and Technology. It consists of a Japanese-English scientific pape...

We describe here our construction of lexical resources, tool creation, building of an aligned parallel corpus, and an approach to automatic treebank creation that we have been developing using Spanish data, based on projection of English syntactic dependency information across a parallel corpus.

Translation ambiguity, out of vocabulary words and missing some translations in bilingual dictionaries make dictionary-based Crosslanguage Information Retrieval (CLIR) a challenging task. Moreover, in agglutinative languages which do not have reliable stemmers, missing various lexical formations in bilingual dictionaries degrades CLIR performance. This paper aims to introduce a probabilistic tr...

We describe our use of RSS news feeds to quickly assemble a parallel English-Japanese corpus. Our method is simpler than other web mining approaches, and it produces a parallel corpus whose quality, quantity, and rate of growth are stable and predictable.

We present the Uppsala Persian Dependency Treebank (UPDT) with a syntactic annotation scheme based on Stanford Typed Dependencies. The treebank consists of 6,000 sentences and 151,671 tokens with an average sentence length of 25 words. The data is from different genres, including newspaper articles and fiction, as well as technical descriptions and texts about culture and art, taken from the op...