This paper describes a method based on morphological analysis of words for a Persian Part-Of-Speech (POS) tagging system. This is a main part of a process for expanding a large Pe...
In this paper, we propose a news index system which supports users who would like to observe difference in various topics (e.g. politics, economy, education, and culture) among cou...
Tomoya Noro, Bin Liu, Yosuke Nakagawa, Hao Han, Ta...
This paper introduces new methods based on exponential families for modeling the correlations between words in text and speech. While previous work assumed the effects of word co-...
When implementing computational lexicons it is important to keep in mind the texts that a NLP system must deal with. Words relate to each other in many different, often queer, way...
Roberto Basili, Maria Teresa Pazienza, Paola Velar...
In this paper, we explore the potential of the theory of nested words for partial correctness proofs of recursive programs. Our conceptual contribution is a simple framework that ...
Matthias Heizmann, Jochen Hoenicke, Andreas Podels...