The traditional Sanger method of DNA sequencing, which uses dideoxynucleotides (ddNTPs) to terminate DNA synthesis at each of the four bases, has remained the gold standard in DNA sequencing for years. The recent development of ‘‘sequencing by synthesis’’ (SBS) techniques, which identify each base as the DNA strand is extended, has offered faster and cheaper sequencing in a massively parallel s...

We present an approach for natural language parsing in which dependency and constituency parses are acquired simultaneously. This leads to accurate parses represented in a specific way, richer than constituency or dependency tree. It also allows reducing parsing time complexity. Within the proposed approach, we show how to treat some significant phenomena of the Russian language and also perfor...

This paper deals with a new controlling mechanism that uses the classical PID and the latest Fuzzy control techniques in harmony to increase the efficiency of the existing methods. The proposed method is better than the previous pre-established methods in literatures in terms of various parameters like the rise time and overshoots values of the response. Basically, here in this design the three...

Machine Translation (MT) was an important area of Natural Language Processing that dealt with the translation of one natural language to another language. In this paper we were presenting the research on Translation of short messages to Plain English Text Messages. In today’s world where communication over the internet had increased by using various types of websites and another internet applic...

As the complexity of embedded software systems grows, performance profiling becomes more and more important. Performance profiling of embedded software systems requires data collection with low overhead and high information completeness. Performance profiling consists of monitoring a software system during execution and then analyzing the obtained data. There are two ways to collect profiling d...

In several languages compound words form orthographic units, which complicates the task of ensuring good lexical coverage for large vocabulary continuous speech recognition (LVCSR). A common approach to the problem consists of first recognizing the compound constituents, followed by an automatic recompounding process. We describe an accurate compound module, which combines a rule-based approach...

A lot of different approaches for controlling locomotion in multipods already exist but most of them are focused on reflex[1] or Central Pattern Generator (CPG) control[2] only and do not take into account a flexible posture control. Therefore, an enhanced locomotion control concept to improve the flexibility of motion production is presented. This concept is based on experiences gained in the ...

The Companions Hybrid-World model defines a new methodology for dialogue. Previous systems were based on a closed world assumption whereby the knowledge of the dialogue system is stored in a knowledgebase and used throughout the conversation. The Hybrid-World model is still based around a knowledgebase (which is used throughout the interaction with the user) but if the user starts talking about...

This paper describes our participation in the CoNLL-2011 shared task for closed task. The approach used combines refined salience measure based pronominal resolution and CRFs for non-pronominal resolution. In this work we also use machine learning based approach for identifying non-anaphoric pronouns.

In the aftermath of a large-scale disaster, agents’ decisions derive from self-interested (e.g. survival), common-good (e.g. victims’ rescue) and teamwork (e.g. fire extinction) motivations. However, decision-theoretic models find it difficult to incorporate motivations, and mental-state models find it difficult to deal with uncertainty. We present an hybrid, CvI-JI, approach that combines: i) ...