Multi-part words in English language are hyphenated and hyphen is used to separate different parts. Persian language consists of multi-part words as well. Based on Persian morphology, half-space character is needed to separate parts of multi-part words where in many cases people incorrectly use space character instead of half-space character. This common incorrectly use of space leads to some s...

There are multiple reasons to expect that detecting the word order errors in a text will be a difficult problem, and detection rates reported in the literature are in fact low. Although grammatical rules constructed by computer linguists improve the performance of grammar checker in word order diagnosis, the repairing task is still very difficult. This paper presents an approach for repairing w...

In this paper, we propose an event words based method for story link detection. Different from previous studies, we use time and places to label nouns and named entities, the featured nouns/named entities are called event words. In our approach, a document is represented by five dimensions including nouns/named entities, time featured nouns/named entities, place featured nouns/named entities, t...

Social network analysis (SNA), which is a research field describing and modeling the social connection of a certain group of people, is popular among network services. Our topic words analysis project is a SNA method to visualize the topic words among emails from Obama.com to accounts registered in Columbus, Ohio. Based on Latent Dirichlet Allocation (LDA) model, a popular topic model of SNA, o...

Category of a word, as may be indicated in a lexicon, is a useful piece of information for most linguistic exercises. Hence determination of categories of words in a natural language is an important task. There has been much work in Part-of-Speech tagging of words in texts, where the tagset is usually pre-determined and provided to the system. In this work we attempt to determine the categories...

As the research base of computer vision, action parsing proposes an important step for the widespread use of computer intelligent device. In real world, any different actions have some differences. We use relative distance difference between objects in different actions as identify descriptor. And proposed a Bag-of-words action parsing model based object distance. Firstly, divide the video into...

This paper proposes a new indicator of text structure, called the lexical cohesion pro le (LCP), which locates segment boundaries in a text. A text segment is a coherent scene; the words in a segment are linked together via lexical cohesion relations. LCP records mutual similarity of words in a sequence of text. The similarity of words, which represents their cohesiveness, is computed using a s...