[PDF] Top 20 Learning the Countability of English Nouns from Corpus Data
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Learning the Countability of English Nouns from Corpus Data
... list countability for at least some nouns, because full knowledge of the refer- ent of a noun phrase is not enough to predict count- ...the countability of the same referent in dif- ferent ... See full document
8
A Plethora of Methods for Learning English Countability
... open data, using best-500 feature selection (Baldwin and Bond, ...hand-annotated data, and the level of agreement found to be around ...of learning techniques for deep lexical acquisition from ... See full document
8
Building a reference lexicon for countability in English
... of countability classes to individual senses in individual contexts could lead to even deeper in- ...the countability reading of a noun (or noun sense) during ...thousand nouns for annotation (see ... See full document
6
Reinforcing English Countability Prediction with One Countability per Discourse Property
... majority countability by counting the numbers of countables and uncount- ...predicting countability from the set of discourses using a ma- chine learning ...training data from ... See full document
8
The Implementation of Corpus-aided Discovery Learning in English Grammar Pedagogy
... of corpus- aided discovery learning and the extent to which corpus-aided discovery learning can create motivating and successful English grammar learning environment for EFL ... See full document
18
Using an Ontology to Determine English Countability
... useful countability would be in predicting the countability of unknown words, we tested the system using stratified ten-fold cross ...the data used as the training ...the data was stratified ... See full document
7
Disambiguating Nouns, Verbs, and Adjectives Using Automatically Acquired Selectional Preferences
... the English all-words task in the SENSEVAL-2 exercise (Cotton et ...test corpus (but carried out after the formal evaluation ...hand-tagged data or frequency distributions derived from such ... See full document
16
Learning Translation Rules from Bilingual English - Filipino Corpus
... translating from English to Filipino text. It incorporates learning of rules based on the analysis of a bilingual corpus in an attempt to eliminate the need for a ...The learning ... See full document
10
Good Secretaries, Bad Truck Drivers? Occupational Gender Stereotypes in Sentiment Analysis
... training data can get propagated through machine learning models, and our approach can help identify ...male nouns have a statistically sig- nificant higher predicted positive class probabil- ity ... See full document
7
Investigating the Applicability of current Machine Learning based Subjectivity Detection Algorithms on German Texts
... In the field of subjectivity detection, al- gorithms automatically classify pieces of text into fact or opinion. Many different approaches have been successfully evalu- ated on English or Chinese texts. Nev- ... See full document
8
Detecting the Countability of English Compound Nouns Using Web based Models
... experimental data is from Webster’s New International Dictionary (Second ...randomly from the list and keep the nouns, for the word list also mixes com- pound verbs and adjectives with ... See full document
5
Investigating Corpus Usage by Sudanese Undergraduates in Learning English Collocations
... language learning and teaching ...language learning and teaching, especially collocations have been revolutionized by the use of corpora due to their inclusion of a wide range of natural language ...on ... See full document
17
A sense based lexicon of count and mass expressions: The Bochum English Countability Lexicon
... Bochum English Countability Lexicon (BECL ...lemmata from Open ANC (http://www.anc.org) with added senses from WordNet (Fellbaum, ...major countability classes and 18 fine-grained ...on ... See full document
5
The application of game-based AR learning model in English sentence learning
... in English vocabularies learning in primary school or kindergarten (Koutromanos, Sofos & Avraamidou, ...for English vocabulary learning in elementary school ...AR English ... See full document
9
The University of Helsinki Submissions to the WMT19 News Translation Task
... the data, we found it necessary to apply off-the-shelf language identi- fiers to the data for removing additional erroneous text from the training ...(CLD2) from the Google Chrome project ... See full document
12
A cross-language methodology for corpus part-of-speech tag-set development
... these English general-purpose corpora are illustrated in Figure 1, derived from the AMALGAM multi-tagged corpus (Atwell et ...This corpus is PoS-tagged according to a range of rival ... See full document
8
Hindi-English Neural Machine Translation Using Attention Model
... machine learning in evaluating MT ...complex English sentences by first simplifying them and then translating into ...machine learning based classifiers for identifying different senses to a word in ... See full document
5
Psycholinguistic Investigations of Brand Names via Word Recognition and Memory Experiments
... proper nouns and brand names are represented bilaterally in the brain (Gontijo et ...(unpublished data, 2008) investigated whether 30 brand names ...proper nouns (see Appendix M for stimulus list). ... See full document
137
Corpus linguistics and the design of a response message
... In 1974 a signal of 1,679 bits was considered potentially significant and challenging to technology of the time, e.g. it took three minutes to transmit; a quarter of a century later, we are used to processing messages of ... See full document
12
Bootstrapped Training of Event Extraction Classifiers
... There have also been weakly supervised ap- proaches that use more than just local context. (Patwardhan and Riloff, 2007) uses a semantic affinity measure to learn primary and secondary patterns, and the secondary ... See full document
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