Linguistic combinations are referred to as a chain of words that associate with one another and form a semantic phrases, such as adjectival and noun. Innovation in this field is one of the main tasks of creative poetry. Shams's sonnets are of the prominent works of Persian literature and their composition is characterized by its stylistic features. In order to express his sublime and mystical t...

In our system, noun phrases in the query are identified and classified into 4 types: proper names, dictionary phrases, simple phrases and complex phrases. A document has a phrase if all content words in a phrase are within a window of a certain size. The window sizes for different types of phrases are different. We consider phrases to be more important than individual terms. As a consequence, d...

Jun Ma, Yujie Zhang, Jinan Xu, Yufeng Chen (Beijing Jiaotong University, Beijing, 100044, China ) Abstract: Conventional “pivot” approach of acquiring paraphrases from bilingual corpus has limitations, where only candidated paraphrases within two steps are considered. In this paper, we propose a graph based model of acquiring paraphrases from phrases translation table. First, we describe a grap...

The International Forum on Translation Technology will be held on the theme of cooperative work between humans and the computer. As an example of the cooperative work, the present situation and prospects for the machine translation value-added network (MT-VAN) service will be described below. In the MT-VAN, users, the machine translation systems and the translators are satisfactory linked by th...

We present some on-going research on phrase-based Statistical Machine Translation using flexible phrases that may contain gaps of variable lengths. This allows us to naturally handle various linguistic phenomena such as negations or separable particles. We integrate this within the standard Maximum Entropy model using some dedicated feature functions, and describe a beam-search stack decoder th...

We tackle the problem of resolving coreferences in textual content by leveraging Semantic Web techniques. Specifically, we focus on noun phrases that coreference identifiable entities that appear in the text; the challenge in this context is to improve the coreference resolution by leveraging potential semantic annotations that can be added to the identified mentions. Our system, SANAPHOR, firs...

In this paper, we describe a multilingual open-source computational grammar of Persian, developed in Grammatical Framework (GF) – A type-theoretical grammar formalism. We discuss in detail the structure of different syntactic (i.e. noun phrases, verb phrases, adjectival phrases, etc.) categories of Persian. First, we show how to structure and construct these categories individually. Then we des...

When you search for information regarding a particular person on the web, a search engine returns many pages. Some of these pages may be for people with the same name. How can we disambiguate these different people with the same name? This paper presents an unsupervised algorithm which produces unique phrases to disambiguate different people with the same name (i.e. namesakes). Our algorithm ta...