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In this paper, we focus on the exception handling mechanism of CA-CCML (Context-aware Cooperative Composition Modeling Language). First, according to level of exception generation, we divide Web service exceptions into three broad categories by levels of exception generation, which are Service invocation level exception, Syntax level exception and Semantic level exception. Then we make detail classification...
Enterprise applications are difficult to test because their intended functionality is either not described precisely enough or described in cumbersome business rules. It takes a lot of effort on the part of a test architect to understand all the business rules and design tests that "cover" them, i.e., exercise all their constituent scenarios. Part of the problem is that it takes a complicated...
This paper describes the development of parser algorithm which is used for Hindi-English machine translation (MT). Machine translation requires analysis, transfer and generation steps to produce target language output from a source language input. Structural representation of Hindi sentences codes the information of Hindi sentences and a transfer module can be designed to generate English sentences...
Idioms are extensively used in everyday language. They carry a metaphorical sense that makes their comprehension difficult as their meaning cannot be deduced from the meaning of their constituent parts. They pose a challenge for Natural language processing (NLP) applications like machine translation, information retrieval and question answering as their translation and meaning needs to be derived...
We consider the problem of terminological ambiguity in requirement specifications arising from term-aliasing, wherein multiple terms may be referring to the same entity in a corpus of natural language text requirements. We consider the case of syntactic as well as semantic aliasing. Syntactic alias identification involves automated generation of patterns for identifying syntactic variances of terms...
Rapid development of natural language processing technologies has paved way for automatic sentiment analysis and emergence of robo-readers in computational finance. However, the technology is still in its nascent state. Distilling sentiment information from unstructured sources has turned out to be a complicated and strongly domain-dependent problem. To emulate the human ability to recognize financial...
A critical step of on-line handwritten diagram recognition is the segmentation between text and symbols. It is still an open problem in several approaches of the literature. However, for a human operator, text/symbol segmentation is an easy task and does not even need understanding diagram semantics. It is done thanks to the use of both structural knowledge and statistical analysis. A human operator...
If NLP systems could better simulate how people would evaluate various states of the world in contexts of interest, this would make it easier to accurately extract embedded sentiments and avoid being led astray by solely linguistic cues. If this knowledge could then be combined with 'fullsemantics' linguistic processing capable of modeling the interplay between lexical and syntactic semantics and...
In this paper we present a natural user interface system. The device utilized for achieving natural interaction is the MS-Kinect which provides RGB, depth & audio signal. Our system is based on the theory of multimodal interaction and provides the ability to the user to interact simultaneously with different applications using vocal commands and gesture in conjunction. The difference of our system...
We show how to extend temporal support of SQL to the Turing-complete portion of SQL, that of persistent stored modules (PSM). Our approach requires minor new syntax beyond that already in SQL/Temporal to define and to invoke PSM routines, thereby extending the current, sequenced, and non-sequenced semantics of queries to PSM routines. Temporal upward compatibility (existing applications work as before...
This paper addresses the process of compound noun construction from simple Malay sentences. To construct the compound noun, we characterize them according to the noun phrase categories in Malay sentence. All these categories are formed based on the combination of noun and noun, noun and noun modifier and noun and non-noun modifier. The noun phrase in Malay sentence is referred to as a word group with...
Resolving cases of ambiguity due to differences in the syntactic form of grammatical rules in source and target languages is a major challenge in the development of a Machine Aided Translation (MAT) system. The primary focus in this paper is laid on translation of text from English to Hindi, one among the most popular Indian languages. Producing an unambiguous parse tree is an extremely difficult...
Many ontology alignment algorithms augment syntactic matching with the use of WordNet (WN) in order to improve their performance. The advantage of using WN in alignment seems apparent. However, we strike a more cautionary note. We analyze the utility of WN in the context of the reduction in precision and increase in execution time that its use entails. For this analysis, we particularly focus on real-world...
Runtime monitoring is a body of techniques concerning monitoring and analyzing event sequences in software execution. It is widely used to improve software's security and reliability. However, the event pattern languages used in current runtime monitoring frameworks are not fully capable of expressing relations among monitored events. This makes them inadequate to describe some desired event sequences...
While in computer networks the number of possible protocol encapsulations is growing day after day, network admin- istrators face ever increasing difficulties in selecting accurately the traffic they need to inspect. This is mainly caused by the limited number of encapsulations supported by currently available tools and the difficulty to exactly specify which packets have to be analyzed, especially...
This paper summarizes results on a recently introduced family of Datalog-based languages, called Datalog+/-, which is a new framework for tractable ontology querying, and for a variety of other applications. Datalog+/- extends plain Datalog by features such as existentially quantified rule heads and, at the same time, restricts the rule syntax so as to achieve decidability and tractability. In particular,...
In this paper we put forward an unsupervised system WSD-AL for Arabic word disambiguation. We apply some pre-processing steps to texts containing the ambiguous word in the corpus and we extract the most relevant words. Then, we put to use the Context-Matching algorithm that returns a semantic coherence score corresponding to the context of use that is semantically closest to the original sentence...
Concordancers are tools that display the immediate context for the occurrences of a given word in a corpus. Also called KWIC - Key Word in Context tools, they are essential in the work of lexicographers, corpus linguists, and translators alike. We present an enhanced type of concordancer, which relies on a syntactic parser and on statistical association measures in order to detect those words in the...
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