[PDF] Top 20 Detecting Errors in Part of Speech Annotation
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Detecting Errors in Part of Speech Annotation
... The variation n-gram approach as the instance of our general idea to detect variation in compara- ble contexts presented in this paper prioritizes the precision of error detection by req[r] ... See full document
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Semantic Similarity for Detecting Recognition Errors in Automatic Speech Transcripts
... In our work, we use information that is external to the ASR system, because new knowledge seems likely to help in the detection of semantic outliers. In this respect, the work of Cox and Dasmahapatra (2000) is closest to ... See full document
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Correcting Dependency Annotation Errors
... the annotation of a nucleus is classified as either an annotation error or as a genuine ...for detecting errors requires one word of recur- ring context on each side of the ...for ... See full document
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Part of Speech Annotation of English Assamese code mixed texts: Two Approaches
... the errors made by the part-of-speech classifier but also the errors by the language identification system as well as the transliteration system (the fact that it was not even English-Assamese ... See full document
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Detecting Errors in Semantic Annotation
... syntactic annotation, such corpora have enormous potential as sources of linguistic data for theoretical ...support annotation endeavors by pro- viding feedback on the annotation ...corpus, ... See full document
6
Cross lingual Annotation Projection Is Effective for Neural Part of Speech Tagging
... annotated part of the parallel cor- pus to its unlabeled translation to produce training data for the under-resourced ...language annotation, but also on the reliability of the annotation ...POS ... See full document
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Part of Speech Annotation of Intermediate Versions in the Keystroke Logged Translation Corpus
... It is difficult to disentangle alternative text pro- duction versions of a string from a simple correc- tion of typing or grammatical errors. Whereas in some cases we could safely assume that the spelling changes ... See full document
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Detecting Syntactic Change Using a Neural Part of Speech Tagger
... pled 1,000 test data set sentences. Of sentences longer than five words, we examined the ten sen- tences with the smallest errors (distance between the LSTM-predicted year of composition and the actual year of ... See full document
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Learning a Part of Speech Tagger from Two Hours of Annotation
... Error Analysis One potential source of errors comes directly from the annotators themselves. Though our approach is designed to be robust to an- notation errors, it cannot correct all mistakes. For example, ... See full document
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Error Detection for Treebank Validation
... the annotation guidelines and the framework, whereas the hy- brid system is a combination of statistical mod- ule with a rule-based post-processing ...in detecting a wide array of potential errors ... See full document
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Detecting Errors in Discontinuous Structural Annotation
... than part-of- speech tags, and so we see a drop in precision when using part-of-speech tags for context, but these re- sults highlight a very practical benefit of using a generalized ...many ... See full document
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Towards Semantic based Hybrid Machine Translation between Bulgarian and English
... We also explored the impact of the bilingual morphological lexicons in the translation pro- cess, due to the occurrences of the so-called out- of-training word forms in the texts. See more in (Simov et al., 2015b). The ... See full document
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Towards Universal Dependencies for Learner Chinese
... We harvested a 100-sentence evaluation dataset from the training data of the most recent shared task on Chinese grammatical diagnosis (Lee et al., 2016b). The dataset included 20 sentences with extraneous words, 20 with ... See full document
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A Hybrid Stepwise Approach for De identifying Person Names in Clinical Documents
... We acknowledge that the comparison with Stan- ford NER is not completely fair due to the different source of documents used for training. However, we considered it interesting information, and alt- hough clinical notes ... See full document
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Enriching the Swedish Sign Language Corpus with Part of Speech Tags Using Joint Bayesian Word Alignment and Annotation Transfer
... Since SSLC contains translations of each utter- ance into written Swedish, it is in effect a parallel corpus of Swedish and SSL. It has long been rec- ognized that parallel corpora are useful for trans- fering ... See full document
6
Building a Corpus from Handwritten Picture Postcards: Transcription, Annotation and Part of Speech Tagging
... In addition, our transcribers annotated textual discourse- related information during the transcription process. The message field of a holiday postcard is generally structured as follows: 1) a preface (date, sometimes ... See full document
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A Pronoun Anaphora Resolution System based on Factorial Hidden Markov Models
... In this paper, they mainly include index (I ), named entity type (E), number (N) and gender (G). The index feature represents the order that a men- tion was encountered relative to the other mentions in the buffer. The ... See full document
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Correction Annotation for Non Native Arabic Texts: Guidelines and Corpus
... for errors are pub- licly available (Rozovskaya and Roth, 2010; Yan- nakoudakis et ...annotated errors in student essays written by learn- ers of Hungarian at three proficiency levels at Indi- ana ...The ... See full document
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Speech errors across the lifespan
... slow speech rate in older adults relative to young adults, despite the fact that their maximum speech rate was clearly slower than that of young ...for speech production; therefore, the data could ... See full document
59
Tagging Urdu Text with Parts of Speech: A Tagger Comparison
... In 1994, Schmid proposed a probabilistic part of speech tagger very similar to a HMM based tagger. The transition probabilities are cal- culated by decision trees. The decision tree merges infrequent ... See full document
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