In this paper we present a method to extract bilingual terminologies from comparable non-aligned corpora, by using multiple linguistic knowledge sources, such as: non-parallel corpora, bilingual thesauri, a preliminary bilingual dictionary, etc... We focus on two core technologies: bilingual lexicon extraction from comparable corpora and expansion through thesauri categories based on different ...

In this paper we introduce a novel method of automating thesauri using syntactically constrained distributional similarity. With respect to syntactically conditioned co-occurrences, most popular approaches to automatic thesaurus construction simply ignore the salience of grammatical relations and effectively merge them into one united ‘context’. We distinguish semantic differences of each synta...

Persian is one of the Indo-European languages which has borrowed its script from Arabic, a member of Semitic language family. Since Persian and Arabic scripts are so similar, problems arise when we want to process an electronic text. In this paper, some of the common problems faced experimentally in developing a corpus for Persian are discussed. The sources of the problems are the Persian scrip...

The Persian language is one of the dominant languages in the Middle East, so there are significant amount of Persian documents available on the Web. Due to the special and different nature of the Persian language compared to other languages like English, the design of information retrieval systems in Persian requires special considerations. However, there are relatively few studies on retrieval...

Persian is an Indo-European language written using Arabic script, and is an official language of Iran, Afghanistan, and Tajikistan. Transliteration of Persian to English—that is, the character-bycharacter mapping of a Persian word that is not readily available in a bilingual dictionary—is an unstudied problem. In this paper we make three novel contributions. First, we present performance compar...

In this paper we introduce a novel method of automating thesauri using syntactically constrained distributional similarity. With respect to syntactically conditioned cooccurrences, most popular approaches to automatic thesaurus construction simply ignore the salience of grammatical relations and effectively merge them into one united ‘context’. We distinguish semantic differences of each syntac...

In this article, we report research on an algorithmic apgather, process, and retrieve information. These systems proach to alleviating search uncertainty in a large inforprovide a wide variety of information and services, rangmation space. Grounded on object filtering, automatic ing from daily updates of foreign and national news, indexing, and co-occurrence analysis, we performed a movie revie...

This paper proposes an innovative approach to improve the classification performance of Persian texts. The proposed method uses a thesaurus as a helpful knowledge to obtain more representative word-frequencies in the corpus. Two types of word relationships are considered in our used thesaurus. This is the first attempt to use a Persian thesaurus in the field of Persian information retrieval. Ex...