... of word spacing error correction only for the test corpus. Table 2: The word spacing errorcorrection results The results of both word spacing error and spell-ing errorcorrection are shown ... Statistical Model for Word Spacing and SpellingErrorCorrection 3.1 Problem Definition Given a sentence T which includes both word spacing errors and spelling errors, we create correction candidates ... 61–64,Prague, June 2007.c2007 Association for Computational LinguisticsA Joint Statistical Model for Simultaneous Word Spacing and SpellingErrorCorrectionforKorean Hyungjong Noh* Jeong-Won Cha**...
... well as the Speech Dasherlattice correction tool (Vertanen, 2004). We feelthat it is potentially useful not only for auto-matic speech recognition, but also for machinetranslation and any other ... representation of a possibly errorfulhypothesis is available. A video of this in-terface in Ogg Theora format1can be viewed athttp://www.cs.cmu.edu/˜dhuggins/touchcorrect.ogg.1 For Mac OS X: http://xiph.org/quicktime/download.html For ... describing the mo-tivation for this work, followed by a “silent” demoof the correction method itself, using pre-recordedaudio. We will then demonstrate live speech inputand correction using our...
... curve forerror correction 0 0.2 0.4 0.6 0.8 1 0 0.2 0.4 0.6 0.8 1 SVM MAXENT CRF data includes 16,308 verb phrases, of which 1,072(6.6%) contain tense/aspect errors. We used Stan-ford ... 2 Tense/Aspect Error CorpusDeveloping a high-quality tense and aspect error correction system requires a large corpus annotatedwith tense/aspect errors. However, existing anno-tated ... detection and correction performance ofeach model. The figures are grouped by error types:tense, aspect, and both tense and aspect. All figuresindicate that the CRF model achieves better perfor-mance...
... eliminated the errors of unknown words, and find errors with errorcorrection rules and manual correc- tion log, suggesting the candidate words. Users can describe errorcorrection rule easily ... Figure 4. In Figure 4, automatic correction means the right correction made by error detection using rule and manual correction log. Manual correction means the correction made directly by user. ... avoided. 3.3 Correction of Errors The result produced by any tagger will contain errors, and correcting these errors would cost very much. Hence, it would be helpful to correct tagging errors using...
... technique for computer de- tection and correction of spelling errors. Comm. of the Assoc. for Computing Machinery, 7(3):171- 6. 29 The error rules capture the correspondence be- tween the error ... of spelling errors in scientific and scholarly text. Journal of the American Society .for Information Science, 34(1):51-8. Pulman, S. and Hepple, M. (1993). A feature-based formalism for ... on the left of LEx. In our morphographemic model, we add a similar formalism for expressing error rules (3). (3) ERROR FORMALISM ErrSurf =~ Surf { PLC- PRC } where PLC = partition left...
... letter for agencies to send to employees who areaffected by the new errorcorrection procedures5 CFR Part 1605, Correction of Administrative Errors; Final Rule-1-●●●●●98-21BULLETIN for Agency ... on Completing IRS Form W-2, Wage and TaxStatement, and Information Agencies Should Provide to EmployeesA. IRS Form W-2. The IRS has advised the Board that its instructions for report-ing makeup ... deferral limit for the year in which the contributions are made, the IRS FormW-2 that you will receive for that year will be completed as explained above, and youshould complete IRS Form 1040 as...
... preposition/article errorcorrection inEnglish. For English error correction, many stud-ies employ classifiers, which select the appropriateprepositions/articles, by restricting the error typesto ... that re-gards the pseudo-errors and the real-errors as thesource and the target domain, respectively, so thatthe pseudo-errors better match the real-errors.2 ErrorCorrection by DiscriminativeSequence ... Association for Computational Linguistics, pages 388–392,Jeju, Republic of Korea, 8-14 July 2012.c2012 Association for Computational LinguisticsGrammar Error Correction Using Pseudo -Error Sentences...
... to phonological alteration module for a Korean text-to-speech. In Proceedigns of the ~th conference on Korean and Korean infor- mation processing. (in Korean) . Jan P.H. van Santen, Richard ... Vitale. 1997. Al- gorithms for grapheme-phoneme translation for English and French: Applications. Com- putational Linguistics, 23(4). Korean Ministry of Education. 1995. Korean Rule Collections. ... combinations in Korean 678 phonology using the defined left and right con- nectivity information. The morpheme-to-phoneme conversion can gen- erate a lot of phoneme sequence candidates for single...
... a very large market for OCR related applications. OCR errorcorrection can be thought of a spelling correction problem. Although spellingcorrection has been studied for several decades (Kukich, ... For simplicity, we will present the method as if it were for an isolated word error correction. In English spelling correction, correction candi- dates are generated by the minimum edit distance ... correct word for X. Therefore, for two character words, we sort the list of all one edit distance words by P(W)P(X I W), and select the top-k words as the correction candidates. For example,...
... annotatedwith error tags and corrections. All annotations havebeen performed by professional English instructors.We use about 80% of the essays for training, 10% for development, and 10% for testing. ... prepositions.4 Linear Classifiers for Grammatical Error Correction In this section, we formulate GEC as a classificationproblem and describe the feature sets for each task.4.1 Linear ClassifiersWe ... WordNet.4.2.2 Preposition Errors• DeFelice The system in (De Felice, 2008) for preposition errors uses a similar rich set of syn-tactic and semantic features as the system for article errors. In our re-implementation,...
... a sur-face level form consisting of more than one com-bined morpheme. Therefore, morphological anal-ysis or POS tagging is required to extract Korean nouns.The previous Korean noun extraction ... in Korean is the same asthe number of every combination of the graphemes.2Fortunately, only a fixed number of syllables isfrequently used in practice.3The amount of in-formation that a Korean ... surfacelevel form and the lexical level one in recognizingwords.We have performed various experiments with awide range of variables influencing the performancesuch as the representation schemes for...
... systems is desired for error detection.Linguistic knowledge is exactly such a goodchoice as an external information source. It has al-ready been proven effective in error detection for speech recognition ... corpora for the translation task.on Xinhua section of the English Gigaword cor-pus (181.1M words). For minimum error rate tun-ing (Och, 2003), we use NIST MT-02 as the de-velopment set for the ... effectiveness of linguistic fea-tures forerror detection but also to identify the ad-ditional contribution of each feature to the task.6.1 Data Corpus For the error detection task, we use the best...
... 2006.c2006 Association for Computational LinguisticsExtraction of Tree Adjoining Grammars from a Treebank forKorean Jungyeul Park UFR Linguistique Laboratoire de linguistique formelle Université ... pro-posed several features forKorean FBLTAG which we do not use in this paper, such as <adv-pp>, <top> and < aux-pp> for nouns and <clause-type> for predicates. While postpositions ... and VP. In Figure 4, for example, NP_SBJ and NP_OBJ nodes are marked for substitution operation and AP node is marked for adjunction operation. Children nodes marked for substitution opera-tion...