The aim of this study is to determine the effect of word clustering method on vocabulary learning of Iranian EFL learners through a case of semantic versus phonological clustering. To this effect, 80 homogeneous students from four intermediate classes at an English institute in Torbat e Heydariyeh participated in this research. They were assigned to four groups according to semantic versus phon...

We consider two graph models of semantic change. The first is a time-series model that relates embedding vectors from one time period to embedding vectors of previous time periods. In the second, we construct one graph for each word: nodes in this graph correspond to time points and edge weights to the similarity of the word’s meaning across two time points. We apply our two models to corpora a...

1- introduction the literature review of persian suffixes show that “-i, -in, -ineh, -gan, -ganeh, -aneh, and -iyeh/yeh” are attributive suffixes. linguistic evidences show that once these suffixes are added to a word, in addition to the central senses of “related to” and “attributed to”, they add peripheral sense such as possession, similarity, possibility, obligation, origin, direction, goal,...

Abstract. Statistical Natural Language Processing (NLP) techniques allow to quantify lexical semantic change using large text corpora. Wordlevel results of these methods can be hard to analyse in the context of sets of semantically or linguistically related words. On the other hand, structured knowledge sources represent such relationships explicitly, but ignore the problem of semantic change. ...

We propose a statistical method for identifying words that have a novel sense in one corpus compared to another based on differences in their lexico-syntactic contexts in those corpora. In contrast to previous work on identifying semantic change, we focus specifically on infrequent word senses. Given the challenges of evaluation for this task, we further propose a novel evaluation method based ...

Semantic wikis have opened an interesting way to mix Web 2.0 advantages with the Semantic Web approach. However, compared to other collaborative tools, wikis do not support all collaborative editing mode such as offline work or multi-synchronous editing. The lack of multi-synchronous supports in wikis is a problematic, especially, when working with semantic wikis. In these systems, it is often ...

Semantic frames are a rich linguistic resource. There has been much work on semantic frame parsers, but less that applies them to general NLP problems. We address a task to predict change in stock price from financial news. Semantic frames help to generalize from specific sentences to scenarios, and to detect the (positive or negative) roles of specific companies. We introduce a novel tree repr...