The design of the 2009 Ad Hoc track was to a large extent a repetition of the previous year's
track, with the same three tasks: Tel@ CLEF, Persian@ CLEF, and Robust-WSD. In this first …

An important challenge to statistical machine translation (SMT) is the lack of parallel data for
many language pairs. One common solution is to pivot through a third language for which …

In a web retrieval task, the query is usually short and the users expect to find the relevant
documents in the first several result pages. To address this issue, the possibilities of using …

One of the important issues in natural language processing and information retrieval is the
automatic extraction of the word's stem. Both statistical and rule-based approaches for …

While many high-quality tools are available for analyzing major languages such as English,
equivalent freely-available tools for important but lower-resourced languages such as Farsi …

This paper describes the usage of Natural Language Processing tools, mostly probabilistic
topic modeling, to study semantics (word correlations) in a collection of Persian poems …

In statistical machine translation, data sparsity is a challenging problem especially for
languages with rich morphology and inconsistent orthography, such as Persian. We show …

We present a low-resource, languageindependent system for text difficulty assessment. We
replicate and improve upon a baseline by Shen et al.(2013) on the Interagency Language …

A Frequency Dictionary of Persian is an invaluable tool for all learners of Persian, providing
a list of the 5,000 most frequently used words in the language. Based on a 150 million word …

In this paper, we propose a selective combination approach of pivot and direct statistical
machine translation (SMT) models to improve translation quality. We work with Persian …