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Semantic understanding by combining extended CFG parser with HMM model
2010
2010 IEEE Spoken Language Technology Workshop
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This paper presents a method for extracting both syntactic and semantic tags. ...
Four experiments and applications were performed using the paradigm to show the usefulness of the approach in processing spoken sentences. ...
The parser is fast, small-foot-print, and robust to spoken language characteristics. ...
doi:10.1109/slt.2010.5700824
dblp:conf/slt/XuSLP10
fatcat:wshaoz3gvzfsjiqcmknjysb2eq
Using key part-of-speech analysis to examine spoken discourse by Taiwanese EFL learners
2014
ReCALL
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Specifically, it reveals the lexical and grammatical categories that occur unusually frequently or unusually infrequently in the English learners' discourse when compared with the language used by the ...
The key word method extended to a part-of-speech level using the web-based corpus analytical tool,Wmatrix, highlights those linguistic domains which deserve particular attention. ...
Corpus Since this study aims to examine the particular linguistic features of spoken communication, an analysis based on naturally occurring samples of language data is necessary. ...
doi:10.1017/s0958344014000408
fatcat:lvo5z2quifekdknwikfyufsnea
Chinese Utterance Segmentation in Spoken Language Translation
[chapter]
2003
Lecture Notes in Computer Science
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This paper presents an approach to segmenting Chinese utterances for a spoken language translation (SLT) system in which Chinese speech is the source input. ...
supplement to the function of sentence boundary detection in speech recognition, in order to identify the boundaries of simple sentences and fixed expressions within the speech recognition results of a Chinese ...
Mark Seligman for his very useful suggestions and his very careful proofreading. The authors also thank the anonymous reviewers for their helpful comments. ...
doi:10.1007/3-540-36456-0_55
fatcat:icdv47ashreutpzjeaqzfrcm5y
A 43 Language Multilingual Punctuation Prediction Neural Network Model
2020
Interspeech 2020
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We also show that the shared information can help in fine-tuning for low-resource languages as well. ...
languages. ...
Compared with only using lexical features, CRF model shows great improvement combining 1 43 languages: Afrikaans, Armenian, Catalan, Chinese (Simplified, Traditional), Croatian, Czech, Danish, Dutch, English ...
doi:10.21437/interspeech.2020-2052
dblp:conf/interspeech/LiL20b
fatcat:3pdzf6qyv5eyddnxm77t2iggyi
A maximum-entropy chinese parser augmented by transformation-based learning
2004
ACM Transactions on Asian Language Information Processing
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We augment an existing maximum entropy parser with transformation-based learning, creating a parser that can operate at the character level. ...
Many natural language applications such as spoken-language understanding, machine translation, and information extraction, would benefit from, or even require, high accuracy parsing as a preprocessing ...
ACKNOWLEDGMENTS The authors would also like to thank Radu Florian at IBM Research for providing the rule templates used by the transformation-based word segmenter and POS tagger. ...
doi:10.1145/1034780.1034786
fatcat:i6ouvxugqzbsxoevdtmwm3axca
MARS: A Statistical Semantic Parsing and Generation-Based Multilingual Automatic tRanslation System
2002
Machine Translation
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MARS is aimed at two-way conversational spoken language translation between English and Mandarin Chinese for limited domains, such as air travel reservations. ...
Many new features and innovations have been incorporated into MARS: the translation is based on understanding the meaning of the sentence; the semantic parser uses a statistical model and is trained from ...
Special thanks to our colleague Jeff Kuo for proofreading our manuscript.
Notes ...
doi:10.1023/b:coat.0000010802.38267.29
fatcat:6wjmgrzi7famlojqzy3vuogncm
Survey of Named Entity Recognition Systems with respect to Indian and Foreign Languages
2016
International Journal of Computer Applications
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The study and observations related to approaches, techniques and features required to implement NER for various languages especially for Indian languages is reported. ...
This paper presents a survey regarding NER research done for various Indian and non Indian languages. ...
Wu et.al. designed a Chinese Name Entity tagger using character based model since Chinese words do not contain space and every character is meaningful. ...
doi:10.5120/ijca2016908197
fatcat:zxx2hsz2n5axzg2tmfluwgrhai
Table of Contents
2021
IEEE/ACM Transactions on Audio Speech and Language Processing
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Kim, Regularized Phrase-Based Topic Model for Automatic Question Classification With Domain-Agnostic Class Labels . ...Tatinati Multi-Task Sequence Tagging for Emotion-Cause Pair Extraction Via Tag Distribution ...
Zhou Knowing Where to Leverage: Context-Aware Graph Convolutional Network With an Adaptive Fusion Layer for Contextual Spoken Language Understanding . . . . . . . . . . . . . . . . . . . . . . . . . . ...
doi:10.1109/taslp.2021.3137066
fatcat:ocit27xwlbagtjdyc652yws4xa
Table of Contents [EDICS]
2020
IEEE/ACM Transactions on Audio Speech and Language Processing
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Liu 2438 Machine Translation for Spoken and Written Language Neural Machine Translation With Noisy Lexical Constraints . . . . . . . . . . . . . . . . . . . . . H. Li, G. Huang, D. Cai, and L. ...
Huang 1198 Word-Character Graph Convolution Network for Chinese Named Entity Recognition . . . . . Z. Tang, B. Wan, and L. ...
doi:10.1109/taslp.2020.3046150
fatcat:easrxuwl6zdppejsrf4bskxfw4
Data-to-Text Generation with Iterative Text Editing
[article]
2021
arXiv
pre-print
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2020 pre-print arXiv:2011.01694v1 fatcat:h7grvcsmyzcb5hjn44e6z35ofa
The output of the model is filtered by a simple heuristic and reranked with an off-the-shelf pre-trained language model. ...
Furthermore, we show that our formulation of data-to-text generation opens up the possibility for zero-shot domain adaptation using a general-domain dataset for sentence fusion. ...
Acknowledgements We would like to thank the anonymous reviewers for the relevant comments. ...
arXiv:2011.01694v2
fatcat:ttuhfzvgcvhnvfd33jff5mehb4
An Autosegmental-Metrical Analysis and Prosodic Annotation Conventions for Cantonese*
[chapter]
2005
Prosodic Typology
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We also thank Sun-Ah Jun and an anonymous reviewer for providing us with thoughtful suggestions and comments. ...
ACKNOWLEDGEMENTS
We thank Steve Cassidy and Jonathan Harrington of the Speech and Hearing Research Centre at Macquarie University for advice in the implementation of the EMU speech database labelling ...
In an Emu-based transcription, elements on this level are defined as "segments" (i.e. tags for discrete intervals with both a beginning and end) rather than as "events" (tags which are associated with ...
doi:10.1093/acprof:oso/9780199249633.003.0010
fatcat:yki5ec2xdbfujlrqa6io3apsza
Speech segmentation and spoken document processing
2008
IEEE Signal Processing Magazine
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A key challenge in moving from text-based documents to such "spoken documents" is that spoken language lacks explicit punctuation and formatting, which can be crucial for good performance. ...
P rogress in both speech and language processing has spurred efforts to support applications that rely on spoken-rather than written-language input. ...
POS tagging and parsing, which are well studied and useful techniques for processing text, are now being applied to spoken language transcripts. ...
doi:10.1109/msp.2008.918023
fatcat:jrry5lad2nbjpfd36vncqfyila
Table of Contents
2020
IEEE/ACM Transactions on Audio Speech and Language Processing
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Chen 1183 Out-of-Domain Detection for Natural Language Understanding in Dialog Systems .
, and R. M. ...
Wang 2109 (Contents Continued on Page vi) 671 Maximal Figure-of-Merit Framework to Detect Multi-Label Phonetic Features for Spoken Language
852 Cognitive-Driven Binaural Beamforming Using EEG-Based ...
doi:10.1109/taslp.2020.3046148
fatcat:hirdphjf6zeqdjzwnwlwlamtb4
Speech act classification in Vietnamese Utterance and its application in smart mobile voice interaction
2016
Proceedings of the Seventh Symposium on Information and Communication Technology - SoICT '16
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Automatic speech act classification has been studied in many languages such as English, Chinese, Slovakian, Arabic, but not yet in Vietnamese. ...
The experiment result has demonstrated the ability of this classifier such as robust, compact and can work well on mobiles. ...
Nguyen-Son Vo for helpful comments. ...
doi:10.1145/3011077.3011119
dblp:conf/soict/NgoDPP16
fatcat:jijf7p67vjdntasbxnk6l5ejty
Pinyin Spelling Promotes Reading Abilities of Adolescents Learning Chinese as a Foreign Language: Evidence From Mediation Models
2020
Frontiers in Psychology
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Pinyin spelling skills were assessed by two measures, Pinyin Dictation (sentence dictation in Pinyin) and Pinyin Tagging (Pinyin writing for characters). ...
The present study examined the role of Pinyin spelling in the reading abilities of adolescents learning Chinese as a foreign language (CFL). ...
Pinyin Tagging (Pinyin writing for characters). ...
doi:10.3389/fpsyg.2020.596680
pmid:33362659
pmcid:PMC7757380
fatcat:e6adxigit5ftvcvazdla54aiii
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