This paper proposes a novel method for lexicon extraction that extracts translation pairs from comparable corpora by using graphbased label propagation. In previous work, it was established that performance drastically decreases when the coverage of a seed lexicon is small. We resolve this problem by utilizing indirect relations with the bilingual seeds together with direct relations, in which ...

One of the most important characteristics of accidental errors to result from simple mistyping is that there is serious discrepancy between erroneous words and their surrounding context. To detect and correct these errors, contextual information such as n-gram or co-occurrence frequency is needed. However, despite these and other advances, detection and correction of accidental errors in agglut...

Preface " This work contains hardly any original facts in regard to man; but as the conclusions at which I arrived, after drawing up a rough draft, appeared to me interesting, I thought that they might interest others… The conclusion that man is the co-descendant with other species of some ancient, lower, and extinct form is not in any degree new. "-Charles Darwin – The Descent of Man Questions...

We address the problem of predicting a word from previous words in a sample of text In particular we discuss n gram models based on classes of words We also discuss several statistical algorithms for assigning words to classes based on the frequency of their co occurrence with other words We nd that we are able to extract classes that have the avor of either syntactically based groupings or sem...

s e q u e n c e of t h r ee l e t t e r s , called a t r i l i t e ra l root . A p r o p o s e d "Matrix" method fo r the r e p r e s e n t a t i o n of the inf lect ional p a r a d i g m s of Arabic words is p r e s e n t e d . This r e p r e s e n t a t i o n r e s u l t s in a c lass i f ica t ion of Arabic w o r d s into a t ree s t r u c t u r e ( F i g ( l ) ) whose leaves r e p r e s e n...

This work attempts to report the stylistic differences in blogging for gender and age group variations using slang word co-occurrences. We have mainly focused on co-occurrence of non dictionary words across bloggers of different gender and age groups. For this analysis, we have focused on the feature use of slang words to study the stylistic variations of bloggers across various age groups and ...

We present a novel method for hierarchical topic detection where topics are obtained by clustering documents in multiple ways. Specifically, we model document collections using a class of graphical models called hierarchical latent tree models (HLTMs). The variables at the bottom level of an HLTM are observed binary variables that represent the presence/absence of words in a document. The varia...