نتایج جستجو برای: persian multi part words
تعداد نتایج: 1215226 فیلتر نتایج به سال:
background : during the past two decades, a great deal of research has been conducted on developing affective norms for words in various languages, showing that there is an urgent need to create such norms in persian language, too. the present study intended to develop a set of 362 persian words rated according to their emotional valence, arousal, imageability, and familiarity so as to prepare ...
This paper presents a rule-based method for transcription of English words into the PersoArabic orthography. The method relies on the phonetic representation of English words such as the CMU pronunciation dictionary. Some of the challenging problems are the context-based vowel representation in the Perso-Arabic writing system and the mismatch between the syllabic structures of English and Persi...
At CLEF 2009 JHU submitted runs in the ad hoc track for the monolingual Persian evaluation. Variants of character n-gram tokenization provided a 10% relative gain over unnormalized words. A run based on skip n-grams, which allow internal skipped letters, achieved a mean average precision of 0.4938. Using traditional 5-grams resulted in a score of 0.4868 while plain words had a score of 0.4463.
Two experiments were conducted to determine whether the Persian word accent disappears in two putative ‘deaccenting’ contexts, post-focal regions and ‘presupposed’ embedded clauses, to the extent that accentual minimal pairs become homophonous. A production experiment showed low F0 plateaus on the post-focal and presupposed words, while a perception experiment showed that such words are not rec...
English main-clause wh-questions form complementiser phrases with wh-words preposed to spec-C position. This is because English wh-words, as verb-complements originally, are strong enough to trigger wh-movement and auxiliary inversion. Persian EFL learners encounter an over-differentiation problem regarding the acquisition of auxiliary inversion rule in English standard questions. Once they hav...
Lexical ontologies and semantic lexicons are important resources in natural language processing. They are used in various tasks and applications, especially where semantic processing is evolved such as question answering, machine translation, text understanding, information retrieval and extraction, content management, text summarization, knowledge acquisition and semantic search engines. Altho...
removal and hiding a part of the speech indicate to the brevity. not mentioning to the part of the sentence, which in some cases can be considered one of the sentence elements, is one of the most important topics that frequently seen in the quran. one of the omissions in the quran is elliptical answer of condition (shart). identifying the elliptical answer of condition in quran and guessing it,...
Sentiment is expressed differently in different domains. For instance, words which are used in both domains can change their polarity. In this article, we present a study on these multi-polarity words. We first show that these multi-polarity words are actually used by automatic opinion classifiers and affect their performances: the classification performance improves if the multi-polarity words...
The present study introduces a machine-based approach for word sense disambiguation (WSD). In Persian, a morphologically complex language, POS tag which lots of homographs are made, one way for doing WSD is allocating the right Part Of Speech (POS) tags to words prior to WSD. Since the frequency of noun and adjective homographs in different Persian POS tag text corpuses is high, POS tag disambi...
this research aims to explore the observance of syllable contact law (scl) in persian simple words. to achieve this aim, 4661 contacts were extracted from 9553 simple polysyllabic words. results show that in 45% of the syllable boundaries the sonority drops from the coda of the first syllable to the onset of the next one. also in 68% of the consonant contacts in pure persian words scl is observ...
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