, to implement the boosting algorithm Adaboost.MH (over deeper trees), 2014.
Disentangling ASR and MT Errors in Speech Translation, MT Summit XVI-2017, 2017. ,
URL : https://hal.archives-ouvertes.fr/hal-01580877
Automatic Quality Estimation for Speech Translation Using Joint ASR and MT Features, Machine Translation Journal-Accepted, 2017. ,
DOI : 10.1007/s10590-018-9218-6
URL : https://hal.archives-ouvertes.fr/hal-01807054
Joint ASR and MT Features for Quality Estimation in Spoken Language Translation, International Workshop on Spoken Language Translation, 2016. ,
URL : https://hal.archives-ouvertes.fr/hal-01408087
Better Evaluation of ASR in Speech Translation Context Using Word Embeddings, Interspeech 2016, 2016. ,
DOI : 10.21437/interspeech.2016-464
URL : https://hal.archives-ouvertes.fr/hal-01350102
An Open Source Toolkit for Word-level Confidence Estimation in Machine Translation, The 12th International Workshop on Spoken Language Translation (IWSLT'15), 2015. ,
URL : https://hal.archives-ouvertes.fr/hal-01244477
Spoken language translation graphs re-decoding using automatic quality assessment, IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU), 2015. ,
DOI : 10.1109/asru.2015.7404804
URL : https://hal.archives-ouvertes.fr/hal-01289158
Using word posterior probabilities in lattice translation, IWSLT, pp.131-136, 2007. ,
Basic theory and methodology in EUROTRA, Machine Translation: Theoretical and Methodological Issues, 1987. ,
Automatic detection of new words in a large vocabulary continuous speech recognition system, Proc. of International Conference on Acoustics, Speech and Signal Processing, 1990. ,
Goodness: A method for measuring machine translation confidence, The 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference, pp.211-219, 2011. ,
Neural Machine Translation by Jointly Learning to Align and Translate, ICLR 2015, pp.3104-3112, 2015. ,
METEOR: An Automatic Metric for MT Evaluation with Improved Correlation with Human Judgments, Workshop on Intrinsic and Extrinsic Evaluation Measures for MT and/or Summarization at the 43th Annual Meeting of the Association of Computational Linguistics, 2005. ,
speech is silver, but silence is golden": improving speech-to-speech translation performance by slashing users input, Proceedings of Interspeech, 2015. ,
URL : https://hal.archives-ouvertes.fr/hal-01194229
Nonlinear Programming, Athena Scientific, 1999. ,
Principle-based parsing: Natural language processing for the 1990s, Artificial Intelligence at MIT: Expanding Frontiers, vol.1, pp.287-325, 1990. ,
Word confidence estimation for speech translation, Proceedings of The International Workshop on Spoken Language Translation (IWSLT), 2014. ,
URL : https://hal.archives-ouvertes.fr/hal-01110393
Spoken language translation graphs re-decoding using automatic quality assessment, IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU), 2015. ,
DOI : 10.1109/asru.2015.7404804
URL : https://hal.archives-ouvertes.fr/hal-01289158
Referential translation machines for quality estimation, Proceedings of the Eighth Workshop on Statistical Machine Translation, pp.343-351, 2013. ,
DOI : 10.3115/v1/w14-3339
URL : https://doi.org/10.3115/v1/w14-3339
Natural Language Processing with Python, 2009. ,
Phrase level segmentation and labelling of machine translation errors, Tenth International Conference on Language Resources and Evaluation, LREC, pp.2240-2245, 2016. ,
Confidence estimation for machine translation, Proceedings of COLING 2004, pp.315-321, 2004. ,
DOI : 10.3115/1220355.1220401
URL : http://dl.acm.org/ft_gateway.cfm?id=1220401&type=pdf
Les architectures linguistiques et computationnelles en traduction automatique sont indépendantes, Actes de la 15ème conférence sur le Traitement Automatique des Langues Naturelles, 2008. ,
, Proceedings of the Eighth Workshop on Statistical Machine Translation, pp.1-44, 2013.
Findings of the 2014 workshop on statistical machine translation, Proceedings of the Ninth Workshop on Statistical Machine Translation, pp.12-58, 2014. ,
DOI : 10.3115/v1/w14-3302
URL : https://doi.org/10.3115/v1/w14-3302
, Proceedings of the Tenth Workshop on Statistical Machine Translation, pp.1-46, 2015.
Tnt: A statistical part-of-speech tagger, Proceedings of the Sixth Conference on Applied Natural Language Processing, ANLC '00, pp.224-231, 2000. ,
Bagging predictors, Mach. Learn, vol.24, issue.2, pp.123-140, 1996. ,
DOI : 10.1007/bf00058655
URL : https://link.springer.com/content/pdf/10.1007%2FBF00058655.pdf
Classification and Regression Trees, Statistics/Probability Series, 1984. ,
A statistical approach to machine translation, COMPUTATIONAL LINGUISTICS, vol.16, issue.2, pp.79-85, 1990. ,
The mathematics of statistical machine translation: Parameter estimation, Comput. Linguist, vol.19, issue.2, pp.263-311, 1993. ,
Re-evaluating the role of bleu in machine translation research, Proceedings of EACL, pp.249-256, 2006. ,
Findings of the 2012 workshop on statistical machine translation, Proceedings of the Seventh Workshop on Statistical Machine Translation, pp.10-51, 2012. ,
Benchmarking of statistical dependency parsers for french, Proceedings of COLING'2010, 2010. ,
URL : https://hal.archives-ouvertes.fr/hal-00514815
Contextbased machine translation, Proceedings of the 7th Conference of the Association for Machine Translation in the Americas, pp.8-12, 2006. ,
The kant perspective: A critique of pure transfer-and pure interlingua, pure transfer, Proc. of the Fourth International Conference on Theoretical and Methodological Issues in Machine Translation: Empiricist vs. Rationalist Methods in MT, pp.225-235, 1992. ,
An empirical study of smoothing techniques for language modeling, Proceedings of the 34th Annual Meeting on Association for Computational Linguistics, ACL '96, pp.310-318, 1996. ,
DOI : 10.1006/csla.1999.0128
URL : http://l2r.cs.uiuc.edu/~danr/Teaching/CS598-05/Papers/Chen-Goodman-smoothing.pdf
Latest trends in hybrid machine translation and its applications, Comput. Speech Lang, vol.32, issue.1, pp.3-10, 2015. ,
Context-dependent pre-trained deep neural networks for large-vocabulary speech recognition, IEEE Transactions on Audio, Speech, and Language Processing, vol.20, issue.1, pp.30-42, 2012. ,
DOI : 10.1109/tasl.2011.2134090
URL : http://www.cs.toronto.edu/%7Egdahl/papers/DRAFT_DBN4LVCSR-TransASLP.pdf
Comparison of parametric representations for monosyllabic word recognition in continuously spoken sentences. ACOUSTICS, SPEECH AND SIGNAL PROCESSING, IEEE TRANSACTIONS ON, pp.357-366, 1980. ,
Maximum likelihood from incomplete data via the em algorithm, JOURNAL OF THE ROYAL STATISTICAL SOCIETY, SERIES B, vol.39, issue.1, pp.1-38, 1977. ,
Investigation on the effects of ASR tuning on speech translation performance, The proceedings of the International Workshop on Spoken Language Translation, 2011. ,
Association for Computational Linguistics, Proceedings of the Third Workshop on Statistical Machine Translation, StatMT '08, pp.175-178, 2008. ,
Finding structure in time, COGNITIVE SCIENCE, vol.14, issue.2, pp.179-211, 1990. ,
Hybrid machine translation overview, Hybrid Approaches to Machine Translation, pp.1-24, 2016. ,
Automatic Human Utility Evaluation of ASR Systems: Does WER Really Predict Performance?, Proceedings of Interspeech, 2013. ,
URL : https://hal.archives-ouvertes.fr/hal-01194248
Crf-based combination of contextual features to improve a posteriori word-level confidence measures, 2010. ,
URL : https://hal.archives-ouvertes.fr/inria-00561051
Overview of the IWSLT 2012 evaluation campaign, proceedings of the 9th International Workshop on Spoken Language Translation (IWSLT), 2012. ,
Linguistic features for quality estimation, Proceedings of the 7th Workshop on Statistical Machine Translation, pp.96-103, 2012. ,
, Boosting Algorithms: A Review of Methods, Theory, and Applications, pp.35-85, 2012.
The viterbi algorithm, Proc. of the IEEE, vol.61, pp.268-278, 1973. ,
Naive bayes for text classification with unbalanced classes, Proceedings of the 10th European Conference on Principle and Practice of Knowledge Discovery in Databases, PKDD'06, pp.503-510, 2006. ,
DOI : 10.1007/11871637_49
URL : https://link.springer.com/content/pdf/10.1007%2F11871637_49.pdf
Boosting a weak learning algorithm by majority. Information and Computation, vol.121, pp.256-285, 1995. ,
DOI : 10.1016/b978-1-55860-146-8.50019-9
Experiments with a new boosting algorithm, Proceedings of the Thirteenth International Conference on Machine Learning (ICML 1996), pp.148-156, 1996. ,
A short introduction to boosting, Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence, pp.1401-1406, 1999. ,
Corpus description of the ester evaluation campaign for the rich transcription of french broadcast news, Proceedings of the 5th international Conference on Language Resources and Evaluation (LREC 2006), pp.315-320, 2006. ,
A primer on neural network models for natural language processing, J. Artif. Intell. Res. (JAIR), vol.57, pp.345-420, 2016. ,
The population frequencies of species and the estimation of population parameters, Biometrika, vol.40, pp.237-264, 1953. ,
Deep Learning, 2016. ,
Machine Translation. Capabilities and limitations. SELL monographs. Lengua Inglesa, Univ, 2000. ,
Learning translation templates from examples. Information systems, vol.23, pp.353-363, 1998. ,
Quality estimation for machine translation using the joint method of evaluation criteria and statistical modeling, Proceedings of the Eighth Workshop on Statistical Machine Translation, pp.365-372, 2013. ,
Why word error rate is not a good metric for speech recognizer training for the speech translation task, Acoustics, Speech and Signal Processing, pp.5632-5635, 2011. ,
Perceptual linear predictive (PLP) analysis of speech, J. Acoust. Soc. Am, vol.57, issue.4, pp.1738-52, 1990. ,
A Practical Guide to Training Restricted Boltzmann Machines, 2010. ,
,
A fast learning algorithm for deep belief nets, Neural Comput, vol.18, issue.7, pp.1527-1554, 2006. ,
Improving neural networks by preventing co-adaptation of feature detectors, 2012. ,
Random decision forests, Proceedings of the Third International Conference on Document Analysis and Recognition, vol.1, p.278, 1995. ,
The random subspace method for constructing decision forests, IEEE Trans. Pattern Anal. Mach. Intell, vol.20, issue.8, pp.832-844, 1998. ,
Gradient flow in recurrent nets: the difficulty of learning long-term dependencies, Field Guide to Dynamical Recurrent Networks, 2001. ,
Machine Translation: Past, Present, Future, 1986. ,
Machine translation: A brief history, Concise history of the language sciences: from the Sumerians to the cognitivists, pp.431-445, 1995. ,
Machine translation: a concise history, Computer aided translation: theory and practice, 2007. ,
Transcrater: a tool for automatic speech recognition quality estimation, Proceedings of ACL-2016 System Demonstrations, pp.16-4008, 2016. ,
Interpolated estimation of Markov source parameters from sparse data, Proceedings Workshop on Pattern Recognition in Practice, pp.381-397, 1980. ,
Speech and Language Processing: An Introduction to Natural Language Processing, Computational Linguistics, and Speech Recognition, 2000. ,
Recurrent continuous translation models, 2013. ,
Estimation of probabilities from sparse data for the language model component of a speech recognizer, IEEE Transactions on Acoustics, Speech and Signal Processing, pp.400-401, 1987. ,
Crytographic limitations on learning boolean formulae and finite automata, Proceedings of the Twenty-first Annual ACM Symposium on Theory of Computing, STOC '89, pp.433-444, 1989. ,
Improved backing-off for m-gram language modeling, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp.181-184, 1995. ,
Statistical Machine Translation, p.9780521874151, 2010. ,
URL : https://hal.archives-ouvertes.fr/hal-01433972
Association for Computational Linguistics, Proceedings of the 2003 Conference of the North American Chapter, vol.1, pp.48-54, 2003. ,
Moses: Open source toolkit for statistical machine translation, Proceedings of the 45th Annual Meeting of the Association for Computational Linguistics, pp.177-180, 2007. ,
Conditional random fields: Probabilistic models for segmenting and labeling sequence data, Proceedings of 18th International Conference on Machine Learning, pp.282-289, 2001. ,
Loria system for the wmt12 quality estimation shared task, Proceedings of the Seventh Workshop on Statistical Machine Translation, pp.114-119, 2012. ,
URL : https://hal.archives-ouvertes.fr/hal-00726372
Boosting bonsai trees for efficient features combination : application to speaker role identification, 2014. ,
URL : https://hal.archives-ouvertes.fr/hal-01025171
Boosting bonsai trees for efficient features combination: application to speaker role identification, InterSpeech, pp.76-80, 2014. ,
URL : https://hal.archives-ouvertes.fr/hal-01025171
Practical very large scale crfs, Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics, pp.504-513, 2010. ,
Automatic quality assessment for speech translation using joint ASR and MT features, 2016. ,
Joint ASR and MT Features for Quality Estimation in Spoken Language Translation, International Workshop on Spoken Language Translation, 2016. ,
URL : https://hal.archives-ouvertes.fr/hal-01408087
Better Evaluation of ASR in Speech Translation Context Using Word Embeddings, Interspeech 2016, 2016. ,
URL : https://hal.archives-ouvertes.fr/hal-01350102
Disentangling ASR and MT Errors in Speech Translation, MT Summit, 2017. ,
URL : https://hal.archives-ouvertes.fr/hal-01580877
Combined low level and high level features for out-of-vocabulary word detection. INTERSPEECH, 2009. ,
URL : https://hal.archives-ouvertes.fr/hal-02088875
Deep learning, Nature, vol.521, issue.7553, pp.436-444, 2015. ,
An introduction to the application of the theory of probabilistic functions of a markov process to automatic speech recognition, Bell Labs Technical Journal, vol.62, issue.4, pp.1035-1074, 1983. ,
Deep learning for acoustic modeling in parametric speech generation: A systematic review of existing techniques and future trends, IEEE Signal Processing Magazine, vol.32, issue.3, pp.35-52, 2015. ,
Metrics for evaluation of word-level machine translation quality estimation, 54th Annual Meeting of the Association for Computational Linguistics, 2016. ,
Phrase-level quality estimation for machine translation, Conference on Empirical Methods in Natural Language Processing, IWSLT, pp.143-150, 2015. ,
Regularized subspace gaussian mixture models for speech recognition, IEEE signal processing letters, vol.18, issue.7, pp.419-422, 2011. ,
DOI : 10.1109/lsp.2011.2157820
URL : http://www.cstr.inf.ed.ac.uk/downloads/publications/2011/lu-asru-2011.pdf
Word confidence estimation and its integration in sentence quality estimation for machine translation, Proceedings of The Fifth International Conference on Knowledge and Systems Engineering (KSE 2013), 2013. ,
URL : https://hal.archives-ouvertes.fr/hal-00953774
LIG system for WMT13 QE task: Investigating the usefulness of features in word confidence estimation for MT, Proceedings of the Eighth Workshop on Statistical Machine Translation, pp.396-391, 2013. ,
URL : https://hal.archives-ouvertes.fr/hal-00953773
Word Confidence Estimation for SMT N-best List Re-ranking, Proceedings of the Workshop on Humans and Computerassisted Translation (HaCaT) during EACL, 2014. ,
URL : https://hal.archives-ouvertes.fr/hal-00953719
LIG System for Word Level QE task at WMT14, Proceedings of the Ninth Workshop on Statistical Machine Translation, pp.335-341, 2014. ,
URL : https://hal.archives-ouvertes.fr/hal-01002924
Towards accurate predictors of word quality for machine translation: Lessons learned on french-english and englishspanish systems, Data and Knowledge Engineering, p.11, 2015. ,
, Neural machine translation. Tutorials-ACL 2016, 2016.
Nlp lunch tutorial: Smoothing, 2005. ,
Pessimistic decision tree pruning based on tree size, Proc. 14th International Conference on Machine Learning, pp.195-201, 1997. ,
Automatic detection of well recognized words in automatic speech transcription, LREC 2006, pp.24-26, 2006. ,
URL : https://hal.archives-ouvertes.fr/hal-01434123
A comparison of event models for naive bayes text classification, AAAI-98 WORKSHOP ON LEARNING FOR TEXT CATEGORIZATION, pp.41-48, 1998. ,
, Spam filtering with naive bayes-which naive bayes? In THIRD CONFERENCE ON EMAIL AND ANTI-SPAM, 2006.
Recurrent neural network based language model, INTERSPEECH 2010, 11th Annual Conference of the International Speech Communication Association, pp.1045-1048, 2010. ,
Efficient estimation of word representations in vector space, The Workshop Proceedings of the International Conference on Learning Representations (ICLR) 2013, 2013. ,
Distributed representations of words and phrases and their compositionality, NIPS, 2013. ,
Distributed representations of words and phrases and their compositionality, Advances in Neural Information Processing Systems, vol.26, pp.3111-3119, 2013. ,
Wordnet: A lexical database for english, Commun. ACM, vol.38, issue.11, pp.39-41, 1995. ,
, Machine Learning, p.9780070428072, 1997.
Collaborative filtering with the simple bayesian classifier, Proceedings of the 6th Pacific Rim International Conference on Artificial Intelligence, PRICAI'00, pp.679-689, 2000. ,
A framework of a mechanical translation between japanese and english by analogy principle. Artificial and human intelligence, pp.351-354, 1984. ,
Machine translation: how far can it go, 1989. ,
Babelnet: The automatic construction, evaluation and application of a wide-coverage multilingual semantic network, Artificial Intelligence, vol.193, pp.217-250, 2012. ,
A systematic comparison of various statistical alignment models, Computational Linguistics, vol.29, issue.1, pp.19-51, 2003. ,
Thumbs up?: Sentiment classification using machine learning techniques, Proceedings of the ACL-02 Conference on Empirical Methods in Natural Language Processing, vol.10, pp.79-86, 2002. ,
Bleu: a method for automatic evaluation of machine translation, Proceedings of the 40th Annual Meeting of the Association for Computational Linguistics, 2002. ,
Improved inference for unlexicalized parsing, HLT-NAACL, 2007. ,
The lig machine translation system for wmt, Proceedings of the joint fifth Workshop on Statistical Machine Translation and Metrics MATR (WMT2010), pp.11-17, 2010. ,
URL : https://hal.archives-ouvertes.fr/hal-00959169
Collection of a large database of french-english smt output corrections, Proceedings of the eighth international conference on Language Resources and Evaluation (LREC), 2012. ,
URL : https://hal.archives-ouvertes.fr/hal-00953814
The subspace gaussian mixture model-a structured model for speech recognition, Comput. Speech Lang, vol.25, issue.2, pp.404-439, 2011. ,
The kaldi speech recognition toolkit, IEEE 2011 Workshop on Automatic Speech Recognition and Understanding, p.11, 2011. ,
Induction of decision trees, Mach. Learn, vol.1, issue.1, pp.81-106, 1986. ,
Simplifying decision trees, Int. J. Man-Mach. Stud, vol.27, issue.3, pp.80053-80059, 1987. ,
C4.5: Programs for Machine Learning, 1993. ,
Fundamentals of Speech Recognition, 1993. ,
Readings in speech recognition, PROCEEDINGS OF THE IEEE, chapter A Tutorial on Hidden Markov Models and Selected Applications in Speech Recognition, pp.267-296, 1990. ,
Improving spoken language translation by automatic disfluency removal: Evidence from conversational speech transcripts, Machine Translation Summit XI, 2007. ,
detecting errors in machine-translated sentences, Machine Translation, vol.25, pp.1-34, 2011. ,
URL : https://hal.archives-ouvertes.fr/hal-00606350
, Information Retrieval. Butterworth-Heinemann, 1979.
Confidence through Attention, MT Summit, 2017. ,
An empirical study of the naive bayes classifier, IJCAI 2001 workshop on empirical methods in artificial intelligence, vol.3, pp.41-46, 2001. ,
Principles of neurodynamics: perceptrons and the theory of brain mechanisms, 1962. ,
Two decades of statistical language modeling: Where do we go from here, Proceedings of the IEEE, p.2000, 2000. ,
Phonetically-oriented word error alignment for speech recognition error analysis in speech translation, IEEE 2015 Workshop on Automatic Speech Recognition and Understanding, 2015. ,
Document-level translation quality estimation: exploring discourse and pseudo-references, EAMT 2014, pp.101-108, 2014. ,
Word embeddings and discourse information for quality estimation, Proceedings of the First Conference on Machine Translation, pp.831-837, 2016. ,
DOI : 10.18653/v1/w16-2391
URL : https://doi.org/10.18653/v1/w16-2391
Speech disfluency and the structure of knowledge, Journal of Personality and Social Psychology, vol.60, issue.3, p.362, 1991. ,
The strength of weak learnability, Machine Learning, vol.5, pp.197-227, 1990. ,
Probabilistic part-of-speech tagging using decision trees, International Conference on New Methods in Language Processing, pp.44-49, 1994. ,
Improvements in part-of-speech tagging with an application to german, Proceedings of the ACL SIGDAT-Workshop, 1995. ,
Traduire la parole : le cas des TED talks. TAL (Traitement Automatique des Langues), vol.55, pp.13-45, 2015. ,
URL : https://hal.archives-ouvertes.fr/hal-01620907
Conversational speech transcription using context-dependent deep neural networks, Proc. Interspeech '11, pp.437-440, 2011. ,
DBnary: Wiktionary as a Lemon-Based Multilingual Lexical Resource in RDF, Semantic Web-Interoperability, Usability, Applicability, 2014. ,
An Open Source Toolkit for Word-level Confidence Estimation in Machine Translation, The 12th International Workshop on Spoken Language Translation (IWSLT'15), 2015. ,
URL : https://hal.archives-ouvertes.fr/hal-01244477
Shef-lium-nn: Sentence level quality estimation with neural network features, First Conference on Machine Translation, vol.2, pp.828-832, 2016. ,
DOI : 10.18653/v1/w16-2392
URL : https://hal.archives-ouvertes.fr/hal-01433190
A survey of machine translation: Its history, current status, and future prospects, Comput. Linguist, vol.11, issue.1, pp.1-17, 1985. ,
A study of translation edit rate with targeted human annotation, Proceedings of association for machine translation in the Americas, pp.223-231, 2006. ,
Terp system description, MetricsMATR workshop at AMTA, 2008. ,
Review article: Example-based machine translation, Machine Translation, vol.14, pp.113-157, 1999. ,
Combining confidence estimation and reference-based metrics for segment-level mt evaluation, Ninth Conference of the Association for Machine Translation in the Americas, 2010. ,
Estimating the sentence-level quality of machine translation systems, 13th Conference of the European Association for Machine Translation, pp.18-37, 2009. ,
Continuous time bayesian network classifiers, Journal of Biomedical Informatics, vol.45, issue.6, pp.1108-1119, 2012. ,
DOI : 10.1016/j.jbi.2012.07.002
URL : https://doi.org/10.1016/j.jbi.2012.07.002
Srilm-an extensible language modeling toolkit, Seventh International Conference on Spoken Language Processing, pp.901-904, 2002. ,
Sequence to sequence learning with neural networks, Proceedings of the 27th International Conference on Neural Information Processing Systems, NIPS'14, pp.3104-3112, 2014. ,
An introduction to conditional random fields, Found. Trends Mach. Learn, vol.4, issue.4, pp.267-373, 2012. ,
Feature-rich part-of-speech tagging with a cyclic dependency network, Proceedings of the 2003 Conference of the North American Chapter, vol.1, pp.173-180, 2003. ,
The effects of false starts and repetitions on the processing of subsequent words in spontaneous speech, Journal of Memory and Language, vol.34, issue.6, pp.709-738, 1995. ,
Sentiment analysis of facebook statuses using naive bayes classifier for language learning, IISA 2013, pp.1-6, 2013. ,
Word-level confidence estimation for machine translation using phrased-based translation models, Proceedings of Human Language Technology Conference and Conference on Empirical Methods in Natural Language Processing, pp.763-770, 2005. ,
Word-level confidence estimation for machine translation, Computational Linguistics, vol.33, pp.9-40, 2007. ,
Confidence measures for statistical machine translation, Proceedings of the MT Summit IX, pp.394-401, 2003. ,
Confidence measures for statistical machine translation, Proceedings of the MT Summit IX, pp.394-401, 2003. ,
A survey of formal grammars and algorithms for recognition and transformation in machine translation, IFIP Congress-68, pp.254-260, 1968. ,
Error analysis of statistical machine translation output, Proceedings of the Fifth International Conference on Language Resources and Evaluation (LREC-2006), pp.6-1244, 2006. ,
Error bounds for convolutional codes and an asymptotically optimum decoding algorithm, IEEE Trans. Inf. Theor, vol.13, issue.2, pp.260-269, 1967. ,
A New Collaborative Filtering Recommendation Approach Based on Naive Bayesian Method, pp.218-227, 2011. ,
Translation, Machine Translation of Languages, p.1949, 1949. ,
Confidence measures for large vocabulary continuous speech recognition, IEEE TRANSACTIONS ON SPEECH AND AUDIO PROCESSING, 2001. ,
DOI : 10.1109/89.906002
Advantages of the mean absolute error (MAE) over the root mean square error (RMSE) in assessing average model performance, Climate Research, vol.30, pp.79-82, 2005. ,
The zero-frequency problem: Estimating the probabilities of novel events in adaptive text compression, IEEE Trans. Inf. Theor, vol.37, issue.4, pp.1085-1094, 1991. ,
Error detection for statistical machine translation using linguistic features, Proceedings of the 48th annual meeting of the Association for Computational Linguistics, pp.604-611, 2010. ,
Recognition confidence measures: Detection of misrecognitions and outof-vocabulary words, Proc. of International Conference on Acoustics, Speech and Signal Processing, pp.21-24, 1994. ,