Error detection

Xem 1-20 trên 106 kết quả Error detection
  • Software error detection is one of the most challenging problems in software engineering. Now, you can learn how to make the most of software testing by selecting test cases to maximize the probability of revealing latent errors. Software Error Detection through Testing and Analysis begins with a thorough discussion of test-case selection and a review of the concepts, notations, and principles used in the book.

    pdf271p caucaphung 04-02-2013 29 8   Download

  • Let us first discuss some issues related, directly ,indirectly, to error detection and correction. Types of Errors Redundancy Detection Versus Correction Forward Error Correction Versus Retransmission Coding Modular Arithmetic

    ppt93p trada85 22-01-2013 27 7   Download

  • We evaluate the effect of adding parse features to a leading model of preposition usage. Results show a significant improvement in the preposition selection task on native speaker text and a modest increment in precision and recall in an ESL error detection task. Analysis of the parser output indicates that it is robust enough in the face of noisy non-native writing to extract useful information.

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  • Despite the rising interest in developing grammatical error detection systems for non-native speakers of English, progress in the field has been hampered by a lack of informative metrics and an inability to directly compare the performance of systems developed by different researchers. In this paper we address these problems by presenting two evaluation methodologies, both based on a novel use of crowdsourcing.

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  • This work introduces a new approach to checking treebank consistency. Derivation trees based on a variant of Tree Adjoining Grammar are used to compare the annotation of word sequences based on their structural similarity. This overcomes the problems of earlier approaches based on using strings of words rather than tree structure to identify the appropriate contexts for comparison. We report on the result of applying this approach to the Penn Arabic Treebank and how this approach leads to high precision of error detection. ...

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  • Automatic error detection is desired in the post-processing to improve machine translation quality. The previous work is largely based on confidence estimation using system-based features, such as word posterior probabilities calculated from N best lists or word lattices. We propose to incorporate two groups of linguistic features, which convey information from outside machine translation systems, into error detection: lexical and syntactic features.

    pdf8p hongdo_1 12-04-2013 9 1   Download

  • This paper describes a method of detecting grammatical and lexical errors made by Japanese learners of English and other techniques that improve the accuracy of error detection with a limited amount of training data. In this paper, we demonstrate to what extent the proposed methods hold promise by conducting experiments using our learner corpus, which contains information on learners’ errors.

    pdf4p bunbo_1 17-04-2013 15 1   Download

  • Data can be corrupted during transmission. For reliable communication, error must be detected and corrected are implemented either at the data link layer or the transport layer of the OSI model.Error detection uses the concept of redundancy, which means adding extra bits for detecting errors at the destination

    ppt39p hoangchung_dtvt 10-12-2012 28 3   Download

  • Arabic handwriting recognition (HR) is a challenging problem due to Arabic’s connected letter forms, consonantal diacritics and rich morphology. In this paper we isolate the task of identification of erroneous words in HR from the task of producing corrections for these words. We consider a variety of linguistic (morphological and syntactic) and non-linguistic features to automatically identify these errors. Our best approach achieves a roughly ∼15% absolute increase in F-score over a simple but reasonable baseline. ...

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  • We demonstrate that the bidirectionality of deep grammars, allowing them to generate as well as parse sentences, can be used to automatically and effectively identify errors in the grammars. The system is tested on two implemented HPSG grammars: Jacy for Japanese, and the ERG for English. Using this system, we were able to increase generation coverage in Jacy by 18% (45% to 63%) with only four weeks of grammar development.

    pdf4p hongphan_1 15-04-2013 18 1   Download

  • Networks must be able to transfer data from one device to another with complete accuracy. Data can be corrupted during transmission. For reliable communication, errors must be detected and corrected.Single bit errors are the least likely type of errors in serial data transmission because the noise must have a very short duration which is very rare. However this kind of errors can happen in parallel transmission.

    ppt36p hoangchung_dtvt 10-12-2012 29 5   Download

  • Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: IResearch Article Secure Arithmetic Coding with Error Detection Capability

    pdf9p dauphong14 13-02-2012 15 2   Download

  • Data transmission can contain errors. – Single-bit. – Burst errors of length n. (n: distance between the first and last errors in data block) • How to detect errors. – If only data is transmitted, errors cannot be detected. Send more information with data that satisfies a special relationship. -Add redundancy

    ppt19p hoangchung_dtvt 10-12-2012 28 2   Download

  • The availability of learner corpora, especially those which have been manually error-tagged or shallow-parsed, is still limited. This means that researchers do not have a common development and test set for natural language processing of learner English such as for grammatical error detection. Given this background, we created a novel learner corpus that was manually error-tagged and shallowparsed.

    pdf10p hongdo_1 12-04-2013 23 2   Download

  • Faced with the problem of annotation errors in part-of-speech (POS) annotated corpora, we develop a method for automatically correcting such errors. Building on top of a successful error detection method, we first try correcting a corpus using two off-the-shelf POS taggers, based on the idea that they enforce consistency; with this, we find some improvement. After some discussion of the tagging process, we alter the tagging model to better account for problematic tagging distinctions.

    pdf8p bunthai_1 06-05-2013 17 2   Download

  • Bài giảng Mạng máy tính - Chương 5a cung cấp những nội dung kiến thức về Data Link Layer. Chương này gồm có các nội dung kiến thức sau: Introduction and services, error detection and correction, multiple access protocols & LAN, Link-layer addressing & ARP. Mời mọi người cùng tham khảo.

    ppt45p kiepnaybinhyen_01 27-11-2015 11 2   Download

  • • Network errors are in the form of corrupted data or lost data. • Network errors occur naturally on all networks due to electrical noise and distortion and must be detected and corrected by either hardware or software. • Bit Error Rates (BERs) are calculated as the number of bits in error divided by the number of bits transmitted. A BER of 1 in 100,000 might be shown as 1:105 or simply as a BER of 10-5 . • Errors often occur in bursts where many bits in a sequence will be in...

    pdf6p doxuan 13-07-2009 81 12   Download

  •   Nowadays,  digital  terrain  models  (DTM)  are  an  important  source  of  spatial  data  for  various  applications  in  many  scientific  disciplines.  Therefore,  special  attention  is  given  to  their  main characteristic ‐ accuracy. At it is well known, the source data for DTM creation contributes a  large amount  of errors, including gross errors, to the final product.

    pdf7p dem_thanh 22-12-2012 14 3   Download

  • In this study, a novel approach to robust dialogue act detection for error-prone speech recognition in a spoken dialogue system is proposed. First, partial sentence trees are proposed to represent a speech recognition output sentence. Semantic information and the derivation rules of the partial sentence trees are extracted and used to model the relationship between the dialogue acts and the derivation rules.

    pdf6p hongdo_1 12-04-2013 17 3   Download

  • It is important to correct the errors in the results of speech recognition to increase the performance of a speech translation system. This paper proposes a method for correcting errors using the statistical features of character co-occurrence, and evaluates the method. The proposed method comprises two successive correcting processes. The first process uses pairs of strings: the first string is an erroneous substring of the utterance predicted by speech recognition, the second string is the corresponding section of the actual utterance.

    pdf5p bunrieu_1 18-04-2013 21 3   Download


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