Examples of using Glove in Chinese and their translations into English
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HiTRONS所有的顾客都会享受他们的白手套服务（whiteglove….
这项研究涉及一项具有自学能力的人工智能系统--GloVe。
The study involved a self-learning artificial intelligence system, GloVe.尽管他在《Knight'sGlove》的角色并不具有开创性，但现在，他经常会扮演越来越复杂的角色。
Although his part in“Knight's Glove” wasn't groundbreaking, he is now often cast in increasingly complex parts.新提出的方法（GloVeGP）在“大五人格”上平均相关性是0.33，优于其它方法33%。
The proposed method(GloVe GP) achieves an average correlation of 0.33 over the Big-5 traits, 33% better than the other methods.额外补充：另一种很酷的词向量初始化方法：GloVe（将共生矩阵与Word2Vec的思想结合在一起）：WEB.
Bonus: Another cool word vector initialization method: GloVe(Combines the ideas of coocurence matrices with Word2Vec).两种真正炫酷的预培训嵌入功能是GloVe和fastText。
Two of the really cool pre-trained embeddings included are GloVe and fastText.Glove是什么意思?
What does GLOCK mean?这些类比是在Word2Vec和GloVe中发现的。
These are all analogies found 目前隶属于GLove。
手形标志代表的是“TheGlove”，这是加里·佩顿的绰号。
Next you have a hand representing‘The Glove,' nickname for Gary Payton.使用word2vec或GloVe词嵌入作为出发点，并在拟合模型时对它们进行调整。
Use word2vec or GloVe word embeddings as a starting point and tune them while fitting the model.今年4月，普林斯顿大学的学者通过一个名为glove的算法揭示，ai会复制人类语言中的刻板印象。
In April of this year, Princeton University academics used an algorithm called GLoVe to show how AI can replicate stereotypes in human language.在2004中，迈克·格洛夫（MikeGlove）退休，并将MD职位移交给克里斯·普里多（ChrisPrideaux）。
In 2004, Mike Glove retired and handed over the M.D. role to Chris Prideaux.Glove是一种为话语获取矢量表征（嵌入）的无监督学习算法。
GloVe is an unsupervised learning algorithm for obtaining vector representations( embeddings) for words.GloVe的设计就是为了使这种向量差尽可能捕获两个并置词的含义。
GloVe is designed in order that such vector differences capture as much as possible the meaning specified by the juxtaposition of two words.他曾多次入围GoldGlove决赛，并于2015年获奖。
He is a multiple Gold Glove finalist, and won the award in 2015.GloVe是一种无监督的学习算法，用于获取单词的向量表示。
GloVe is an unsupervised learning algorithm that can obtain vector representations for words.相反，该团队使用了GloVe(单词表示的全局向量)模型来发现新的相关关键词。
Instead, the team used a GloVe(Global Vectors for Word Representation) model to discover new and relevant keywords.GloVe的使用目的和word2vec一样，但GloVe具有不同的矢量表征，因为它是在共现（co-occurrence）统计数据上训练的。
GloVe vectors serve the same purpose as word2vec but have different vector representations due to being trained on co-occurrence statistics.研究者在这篇论文中选择了Twitter200维GloVe模型[5]来提取词嵌入特征。
In this paper, the authors choose the Twitter 200 dimensional GloVe model[5] for extracting the Word Embedding features.
