[PDF] Top 20 A Hard Science Spoken Word List
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A Hard Science Spoken Word List
... useful list for hard science students is that it benefits these learners regardless of their vocabulary ...449 word families and 153 word families from the HSWL, ...of hard ... See full document
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Opportunities for re-convergence of engineering and cognitive science accounts of spoken word recognition
... bottom-up word hypothesis component, fed by symbolic phonetic input, which feeds an interactive activation architecture of word ...to word competition, the input stage generates a short list ... See full document
11
AN INVESTIGATION OF ACADEMIC WORD LIST (AWL) AND GENERAL SERVICE LIST (GSL) IN HARD SCIENCES’ RESEARCH ARTICLES: MEETING THE RISING DEMANDS IN ESP
... Renouf (1987) defines a corpus as “a collection of texts, of the written or spoken word, which is stored and processed on computer for the purpose of linguistic research” (p. 1). Language analysts and ... See full document
12
A Corpus-driven Food Science and Technology Academic Word List
... Since spoken genre was not accessible, only the written genre was ...as spoken discourse to create word ...of word families were not examined in ... See full document
27
Interactive Dictionary for Visually Impaired
... In the proposed system, the surrounding noise is major concern. Approximately 15 words have been successfully recognized. The accuracy is only up to 85% due to the noise and other losses in the system. .The accuracy is ... See full document
5
Comparison of Word Length Distributions in Spoken and Written Chinese
... Chinese word length distributions, as well as the comparisons of the values of parameter a between different text styles and different measurement units of word length; Section 4 concludes this ... See full document
11
Online Lexical Competition During Spoken Word Recognition and Word Learning in Children and Adults
... for word recognition. More specifically, when a word with an early uniqueness point is preceded by a highly constraining sentence, greater levels of associated semantic knowledge and prior episodic ... See full document
61
On-line lexical competition during spoken word recognition and word learning in children and adults
... of word recognition ...between word candidates at the end- point of word recognition) rather than a continually updated competition based initially on partial information (referred to here as early ... See full document
46
A Corpus for Modeling Word Importance in Spoken Dialogue Transcripts
... from word im- portance information (Kafle and Huenerfauth, ...a word has been chal- lenging for our team thus far, because we have lacked cor- pora of conversational dialogue with word-importance an- ... See full document
5
Target word prediction and paraphasia classification in spoken discourse
... Shannon’s word-guessing game (Shannon, 1951), researchers have sought to lever- age the statistical regularities in natural language to predict missing or subsequent ...ing word in the sentence,” and also ... See full document
8
The relationship of word error rate to document ranking
... in turn should give one confidence in the readability of transcripts of top ranked documents even if the average word error rate across a collection is low. Such a result complements the usability experiment ... See full document
7
Is spoken duration a sufficient explanation of the word length effect?
... the word length effect; the finding that span for short words is better than span for long ...the word length effect, Baddeley, Thomson and Buchanan (1975) argued that it arose due to the fact that short ... See full document
27
A Light Weight Stemmer for Urdu Language: A Scarce Resourced Language
... Stemming is a procedure that conflates morphologically related terms into a single term without doing complete morphological analysis. Urdu language raises several challenges to Natural Language Processing (NLP) largely ... See full document
10
A Stratified Approach for Spoken Word and Accent Recognition: Validation & Analysis
... The execution time with 30/min rate of speech in Telugu accent. is 78 sec and accuracy rate is 97 %. The accuracy can be validated as per the simulated data, TP= 98, TN= 70, FN= 2 and FP= 4. for the accented word ... See full document
8
Modeling Long Distance Cue Integration in Spoken Word Recognition
... Cues to linguistic categories are distributed across the speech signal. Optimal categoriza- tion thus requires that listeners maintain gradi- ent representations of incoming input in order to integrate that information ... See full document
9
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] ... See full document
8
Vocabulary Profile as a Measure of Vocabulary Sophistication
... of word types that occurred in test responses and reference corpora (the coverage of reference ...frequency word types on proficiency; the kinds of word types that were in the TOP1 bins were an ... See full document
10
Syntactic Surprisal Affects Spoken Word Duration in Conversational Contexts
... In order to account for the effects of simple word frequency on utterance duration, we extracted two types of frequency counts. One was taken di- rectly from the AMI corpus alone. The other was taken from a 151 ... See full document
12
Performance of college athletes on the 10 item word list of SCAT5
... Average SCAT5 scores for immediate trials, total imme- diate and delayed recall are shown in table 1. Similar to other list learning tasks, the number of words recalled increased in each of the three successive ... See full document
5
SENSE IDENTIFICATION FOR AMBIGUOUS WORD USING DECISION LIST
... We have implemented Naive Bayes algorithm using WordNet 2.1. The most important of our study regarding WSD it still open and Determining the proper meaning in a specific context is still such as challenge of WSD problem. ... See full document
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