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475 results for “words”
Supplementary Material for: A new methodology for an old problem: A corpus-based typology of adnominal word order in European languages
<p>Published on IJL</p>
GENDERED WORDS
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WAYS OF FORMING OF COMPOUND WORDS IN RUSSIAN AND ENGLISH LANGUAGES.
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LEXICON OF THE UZBEK LANGUAGE AND THE PROCESS OF WORD ACQUISITION IN IT
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THE PROBLEM OF BORROWING WORDS IN THE FIELD OF EDUCATION
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Okey Aura Wake-up Word Dataset
<p>Speech dataset for wake-up word (WuW) detection in Telefónica's home assistant, Aura. It contains 1247 utterances (1.4 hours) from ~80 speakers. Speakers pronounce the wake-up word itself "Okey Aura", plus other sentences that might be similar, or not, to "Okey Aura".</p> <p>This dataset contains rich metadata annotations, so it is possible to study diverse factors and biases that might affect wake-up word detection performance: accent, gender, prosody/emotion, room size, distance to the microphone, etc. Besides, it also contains recordings of sentences that are phonetically similar to "Okey Aura", like "Porque Laura..." or "... como Aura...", to experiment with difficult sentences. </p>
CONSIDERATIONS RELATED TO SOME WORDS FROM THE POINT OF VIEW OF MEANING, WEIGHT AND ARTISTRY
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EFFECTIVE WAYS OF TEACHING VOCABULARY: HOW TO TEACH TEN WORDS AT A TIME?
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TO UNDERSTAND THE VALUE OF THE WORD MEANS TO UNDERSTAND THE IDENTITY
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Twitter pre-trained word vectors
<p>Clean up of <strong>glove.twitter.27B.zip </strong><ODC Public Domain Dedication and Licence (PDDL) 1.0>.</p> <p>"2B tweets, 27B tokens, 1.2M vocab, uncased"</p> <p><strong>Changes from original</strong></p> <ul> <li>Headers added to allow loading by gensim. [Added via scripts.glove2word2vec]</li> <li>Recompressed as individual gzip files [Instead of a combined zip].</li> </ul> <p>These changes make the files easier to work with and increase compatibility.</p> <p><strong>Headers</strong></p> <p>Example of added header line</p> <blockquote> <p>1193513 200</p> </blockquote> <p>Header gives number of tokens and dimensions.</p> <p><strong>Statistics</strong></p> <ul> <li>Entries: 1,193,513</li> <li>Token length (characters). Min:1, Max:140, Avg:6.73</li> <li>Number of words per token. Min:0, Max:17, Avg:1.00669200921984</li> <li>Tokens with more than one word: 4874 (0.41%)</li> <li>Twitter data collection date: <em>Unknown.</em><strong><em> </em></strong></li> </ul> <p>History:</p> <ul> <li><strong>?? Aug 2014 </strong>— GloVe v.1.0 released</li> <li><strong>16 Aug 2014 </strong>— Files first appear as headerless .txt.gz files, some files have mislabeled linked (via <a href="https://web.archive.org/web/20140816165523/http://www-nlp.stanford.edu/projects/glove/">wayback machine)</a></li> <li><strong>?? Oct 2015</strong> — GloVe v.1.2 released</li> <li><strong>?? ??? ????</strong> — Files replaced with a .zip file</li> <li><strong>03 June 2019 </strong>— (These files) Repackaged like original as .txt.gz, plus added headers for increased compatibility</li> </ul> <p>Example of 17-word token:</p> <blockquote> <p> سكس_طيز_قحبه_عنيف_اغتصاب_سكسيه_فحل_زب_نيك_بنات_مكوه_شهوه_لحس_عنف_تومبوي_ليدي_سبورت</p> </blockquote> <p><strong>200d file:</strong></p> <ul> <li>Normalized: no</li> <li>Values: Min:-6.7986, Max:4.609, Avg:0.009065093</li> <li>Zero values (exactly zero): none</li> <li>Zero values (approx zero) per entry: Min:0 (0.00%), Max:2 of 200 (1.0%), Avg:0.00375865197949247 (0.00%)</li> </ul>
Supporting data for: "Frequency-tagged visual evoked responses track syllable effects in visual word recognition"
<p>The dataset consists of the original 17 .bdf files.</p>
Sense-Tagged corpora for Word Sense Disambiguation in several languages
<p>Copies of Sense-Tagged corpora for Word Sense Disambiguation in several languages</p> <p>English, French, Spanish, Russian</p> <p> </p>
Fig 1 in A New Species of Cryptopone Emery (Hymenoptera: Formicidae: Ponerinae) from Brazil with Observations on the Genus and a Key for New Word Species
Fig 1. Cryptopone pauli sp. nov. (A) Lateral view and (B) Dorsal view.
STUDIES ON WORDS ADOPTED FROM OTHER LANGUAGES INTO ENGLISH
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THE COGNITIVE CHARACTERISTICS OF WORD ORDER IN ADVERTISEMENT TEXTS
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ICDAR17 words
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EXPLANATION OF TWO-LETTER AUXILIARY WORDS IN THE WORK "MIFTAHUL-ULUM"
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Ancient Tamil Word Segmentation Training Data
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Figure 3 from: Remsen D, Knapp S, Georgiev T, Stoev P, Penev L (2012) From text to structured data: Converting a word-processed floristic checklist into Darwin Core Archive format. PhytoKeys 9: 1-13. https://doi.org/10.3897/phytokeys.9.2770
Figure 3 - An updated database with final column titles and unique identifier added for each record.
Supplementary Materials for article on entitled 'Structure and usage do not explain each other: An analysis of German word-initial clusters', published in Linguistics
<p>See the article for a description of the data</p>
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