نتایج جستجو برای: text correction
تعداد نتایج: 328701 فیلتر نتایج به سال:
multi-part words in english language are hyphenated and hyphen is used to separate different parts. persian language consists of multi-part words as well. based on persian morphology, half-space character is needed to separate parts of multi-part words where in many cases people incorrectly use space character instead of half-space character. this common incorrectly use of space leads to some s...
This paper describes the error correction model that we used for the Automatic Correction of Arabic Text shared task. We employed two correction models, namely a character-level model and a casespecific model, and two punctuation recovery models, namely a simple statistical model and a CRF model. Our results on the development set suggest that using a cascaded correction model yields the best r...
In computing, spell checking is the process of detecting and sometimes providing spelling suggestions for incorrectly spelled words in a text. Basically, a spell checker is a computer program that uses a dictionary of words to perform spell checking. The bigger the dictionary is, the higher is the error detection rate. The fact that spell checkers are based on regular dictionaries, they suffer ...
the aim of this study has been to find answers for the following questions: 1. what is the effect of immediate correction on students pronunciation errors? 2. what would be the effect of teaching the more rgular patterns of english pronunciation? 3. is there any significant difference between the two methods of dealing with pronuciation errore, i. e., correction and the teaching of the regular ...
Semantic error detection and correction is an important task for applications such as fact checking, speech-to-text or grammatical error correction. Current approaches generally focus on relatively shallow semantics and do not account for numeric quantities. Our approach uses language models grounded in numbers within the text. Such groundings are easily achieved for recurrent neural language m...
We have developed a method of improving and controlling the accuracy of automated continuous speech recognition through linguistic postprocessing. In this approach, an output from a speech recognitio n system is passed to a trainable Correction Box module which attempts to locate and repair any transcription errors. The Correction Box consists of a text alignment program, a correction-rule gene...
In order to improve OCR quality in texts originally typeset in Gothic script, we have built an automated correction system which is highly specialized for the given text. Our approach includes external dictionary resources as well as information derived from the text itself. The focus lies on testing and improving different methods for classifying words as correct or erroneous. Also, different ...
John P. A. Ioannidis doi:10.1371/journal.pctr.0010036 In PLoS Clinical Trials, vol 1, issue 7: In Box 2, Reference [52] should be corrected to [22]. References [18-21] in the text should be corrected to [18-22]. The six successive references from [22] to [27] in the text should be corrected to [23] to [28]. Finally, the current reference [28] in the text should be corrected to [14]. This correc...
Misspelling and misconception resulting from similar pronunciation appears frequently in Chinese texts. Without double check-up, this situation will be getting worse even with the help of Chinese input editor. It is hoped that the quality of Chinese writing would be enhanced if an effective automatic error detection and correction mechanism is embedded in text editor. Therefore, the burden of m...
BACKGROUND Respiratory motion in positron emission tomography (PET) is an unavoidable source of error in the measurement of tracer uptake, lesion position and lesion size. The introduction of PET-MR dual modality scanners opens a new avenue for addressing this issue. Motion models offer a way to estimate motion using a reduced number of parameters. This can be beneficial for estimating motion f...
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