Word frequency counts for the second dataset
A Dataset for Sanskrit Word Segmentation
... the second challenge. Writings in Sanskrit follow free (loose) word order especially in poetry (Kulka- rni et ...free word order in Sanskrit is a convenient tool for po- ets to arrange the words in ...
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Approximate Frequency Counts over Data Streams
... Our goal is to devise algorithms to support -deficient synopses using as little main memory as possible. 4 Algorithms for Frequent Items In this section, we describe algorithms for computing - deficient synopses for ...
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The Word Frequency Effect in English Second Language Students: An Eye Movement Monitoring Study
... given word and its ...a word is often related to a reader’s fluency ( Literacy Information and Communication System, 2019 ...automatic word recognition was found to be a significant predictor of ...
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Blood neutrophil counts are associated with exacerbation frequency and mortality in COPD
... there was high mortality in this cohort, a second set of mixed models was fitted using only measurements taken within 3 years of the index dates. Unadjusted models were fitted, using the four BNC levels to predict ...
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On the effect of word frequency on distributional similarity
... the frequency bias in more detail for 6 different similarity meth- ...arbitrary word pairs in which the fre- quency of the first word is kept constant and the frequency of the second ...
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Reproducibility dataset for a large experimental survey on word embeddings and ontology-based methods for word similarity
... on word similarity and relatedness based on ontology-based methods and word embeddings, as well as the implementation of new methods, by gathering most word similarity and relatedness benchmarks, as ...
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AnlamVer: Semantic Model Evaluation Dataset for Turkish Word Similarity and Relatedness
... evaluation dataset for Turkish designed to evaluate word similarity and word relatedness tasks while discriminating those two relations from each ...Our dataset consists of 500 ...
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Create a Manual Chinese Word Segmentation Dataset Using Crowdsourcing Method
... The second purpose is to support the studies on word intuition of Chinese speakers in general and to examine the effect of semantic transparency on word intuition in ...particular. Word ...
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Contextual diversity, not word frequency, determines word naming and lexical decision times
... K-F frequency count, but for these data TASA accounts for more variance than K-F, even when ranked, and log TASA accounts for even more ...K-F counts and a ranking transformation are both inappropriate ...
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Collocational Processing in L1 and L2: The Effects of Word Frequency, Collocational Frequency, and Association
... on word- level and collocational frequency information when they process high- and low-frequency ...our second research question focused on whether L1 and L2 speakers’ reliance on ...
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SCI Tree: An Incremental Algorithm for Computing Support Counts of all Closed Intervals from an Interval Dataset
... support counts of all closed intervals in a interval transaction ...support counts is important because by using the set of closed intervals and their respective support counts, it is possible to ...
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A Dataset of Crowdsourced Word Sequences: Collections and Answer Aggregation for Ground Truth Creation
... First, both SMS and RASA outperform the na¨ıve baseline SMV. RASA is better than SMV because it considers the worker reliability. SMS is better than SMV as it is based on kernel den- sity estimation which is more ...
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Word Co occurrence Counts Prediction for Bilingual Terminology Extraction from Comparable Corpora
... The most noticeable improvement concerns the PMI-Cos configuration. Aside from the M ean method, all the other techniques have shown bet- ter performance than the Standard Approach. Ac- cording to the empirical results, ...
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Generation of transcript counts from pasilla dataset with kallisto
... Brooks et al. deposited their data in the Short Read Archive. In order to convert SRA data into fastq format, you need to install the SRA toolkit available on http: ...
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A Handwritten French Dataset for Word Spotting - CFRAMUZ
... for word-spotting. The dataset contains works from a single writer through-out his entire life, while exhibiting a significant change of the handwriting ...the dataset and its complete ground-truth ...
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Spanish Word Frequency Study
... The data from Spanish and English are roughly comparable, but there is an important difference in the way in which the data was obtained. In Nation (2000), the words are grouped by what he calls “word families”, ...
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Word Frequency and Emotion - A Review
... high frequency (HF) words is speeded as compared to the processing of low frequency (LF) words, which is known as the word frequency ...that word frequency influenced the ...
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Online Word of Mouth Communication in Bollywood Tweet Dataset
... online word of mouth, which acts as a stimulus to brand ...top word pairs mentioned by users. This helps to understand the word of mouth based information spread in online social networks and ...
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Every Second Counts! Corporate Presentation. April 2021
... – The proportion of patients alive and free of mechanical ventilation at Day 29 was 12.3 percentage points higher in mavrilimumab recipients (86.7%) compared to placebo recipients (74.4[r] ...
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(Big) Data Analytics: From Word Counts to Population Opinions
... – text in books, news, blogs, social media and so on. • Where we located, says a lot about us…[r] ...
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