A line of a bilingual document page may contain text words in regional language and numerals in English. For Optical Character Recognition (OCR) of such a document page, it is necessary to identify different script forms before running an individual OCR system. In this paper, we have identified a tool of morphological opening by reconstruction of an image in different directions and regional de...

In participating in this evaluation campaign, our first objective is to analyze the retrieval effectiveness when using TEL (The European Library) corpora composed of very short descriptions (library catalogue records) and to evaluate the retrieval effectiveness of several IR models. As a second objective we want to design and evaluate a stopword list and a light stemming strategy for the Persia...

The techniques of using neural networks to learn distributed word representations (i.e., word embeddings) have been used to solve a variety of natural language processing tasks. The recently proposed methods, such as CBOW and Skip-gram, have demonstrated their effectiveness in learning word embeddings based on context information such that the obtained word embeddings can capture both semantic ...

some morphological pattern that recurs among the groups. Such emergent patterns provide enough clues for segmentation and can sometimes be formulated as rules or morphological paradigms. (c) Features and Classes: In this family of methods, a word is seen as made up of a set of features—n-grams in Mayfield and McNamee (2003) and McNamee and Mayfield (2007), and initial/terminal/mid-substring in ...

This paper introduces a new lexicographic resource, the MuLeXFoR database, which aims to present word-formation processes in a multilingual environment. Morphological items represent a real challenge for lexicography, especially for the development of multilingual tools. The database introduced in this paper tries to take advantage of recent advances in electronic implementation and morphologic...

Statistical machine translation (SMT) is based on the ability to effectively learn word and phrase relationships from parallel corpora, a process which is considerably more difficult when the extent of morphological expression differs significantly across the source and target languages. We present techniques that select appropriate word segmentations in the morphologically rich source language...