word error rate
The relationship of word error rate to document ranking
... of word error rate within the documents recognised by SpeechBot: in a white paper describing the system, a WER of 50% was estimated to be occurring on average across the ...of error should ...
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Word Error Rate Estimation for Speech Recognition: e WER
... Measuring the performance of automatic speech recognition (ASR) systems re- quires manually transcribed data in order to compute the word error rate (WER), which is often time-consuming and expen- ...
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Using Chunk Based Partial Parsing of Spontaneous Speech in Unrestricted Domains for Reducing Word Error Rate in Speech Recognition
... Using Chunk Based Partial Parsing of Spontaneous Speech in Unrestricted Domains for Reducing Word Error Rate in Speech Recognition U s i n g C h u n k B a s e d P a r t i a l P a r s i n g o f S p o n[.] ...
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Minimizing Word Error Rate in Textual Summaries of Spoken Language
... summary accuracy relevance using speech recognizer confidence scores to rank passages with lower word error rate higher in the summarization process.. Results comparing our approach to a[r] ...
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Using Chunk Based Partial Parsing of Spontaneous Speech in Unrestricted Domains for Reducing Word Error Rate in Speech Recognition
... Thus, the intuitive idea is to generate representations that allow for a discriminative judgment between different hypotheses in the Nbest list, so that eventually a more plausible candi[r] ...
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Massively Multilingual Adversarial Speech Recognition
... 2: Word error rate (%) comparison of multilingual models adapted to target languages, with and without auxiliary training objectives (relative change in ...relative word error ...
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DISOCIAL MEDIA SYNCHRONIZATION MODEL: IN ASSOCIATION WITH DEVELOPING SMALL MEDIUM ENTERPRISES SALES INFORMATION SYSTEM
... Word error rate (WER) is the main metric that use by most researchers in measuring error rate of OCR post-processing techniques [11, 27, ...the word error rate, ...
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Determining Case in Arabic: Learning Complex Linguistic Behavior Requires Complex Linguistic Features
... In Modern Standard Arabic (MSA), all nouns and adjectives have one of three cases: nominative (N OM ), accusative (A CC ), or genitive (G EN ). What sets case in MSA apart from case in other languages is most saliently ...
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Spoken Dialog Challenge 2010: Comparison of Live and Control Test Results
... measured word error ...Thus, word error rates do not just depend on the quality of the acoustic models – they depend on the whole system ...
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Web Augmentation of Language Models for Continuous Speech Recognition of SMS Text Messages
... In more recent work, the focus has turned to the collection of text rather than n-gram statistics based on page counts. More effort has been put into the selection of query strings. Bulyko et al. (2003; 2007) first ...
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Named Entity Extraction from Noisy Input: Speech and OCR
... We explore the effects of word error rate from ASR and OCR, performance as a function of the amount of training data, and for speech, the effect of out-of-vocabulary errors and the loss [r] ...
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Abbreviated text input using language modeling.
... We address the problem of improving the efficiency of natural language text input under degraded conditions (for instance, on mobile computing devices or by disabled users), by taking advantage of the informational ...
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Driving ROVER with Segment based ASR Quality Estimation
... significant word error rate (WER) reductions compared to the out- put of each individual ...voting error re- duction – ROVER (Fiscus, 1997), the most widely used method, performs hypothesis ...
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Word Alignment for Languages with Scarce Resources Using Bilingual Corpora of Other Language Pairs
... the word alignment model mainly has three kinds of parameters that must be specified, including the translation prob- ability, the fertility probability, and the distortion ...Chinese-Japanese word ...
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Comparing a Linguistic and a Stochastic Tagger
... A state-of-the-art statistical tagger, capable of performing error-rate-ambiguity tradeoff, was trained on a 357,000-word portion of the Brown corpus reannotated with the EngCG tag set, [r] ...
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A simple real-word error detection and correction using local word bigram and trigram
... another Word-net based approach, Peddler [12] showed that semantic association can be useful in detecting real-word error using some confusion sets especially in case of Dyslexic text ...spelling ...
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Bit Error Rate Analysis of OFDM
... OFDM is a modulation format that is being used for many of the latest wireless and telecommunications standards. OFDM has been adopted in the Wi-Fi arena where the standards like 802.11a, 802.11n, 802.11ac and more. It ...
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Stabilizing Minimum Error Rate Training
... Next, Powell’s algorithm is used to find the weights that maximize BLEU score when used to choose the best hypotheses from the n-best lists... are plugged back into the decoder, and the [r] ...
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Regularized Minimum Error Rate Training
... Our search strategy consists of looking at the direc- tions of steepest increase of expected BLEU, which is similar to that of Smith and Eisner (2006), but with the difference that we do so in the context of MERT. We ...
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Decision of the Classification of Students on the Basis of their Academic Grades
... It is well documented that a good classifier must not only classify the training data well, but also, it must accurately classify the data objects which are new or unseen to this fitted classifier. In other words, a good ...
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