语言模型 in English translation

• language model
• language models

Examples of using 语言模型 in Chinese and their translations into English

作为自然语言处理（NLP）系统的核心组成部分，语言模型可以提供词表征和单词序列的概率化表示。
As the core component of Natural Language Processing(NLP) system, Language Model(LM) can provide word representation and probability indication of word sequences.

在这两种情况下，作者致力于语言模型，其中词汇表中的大约每一个词都具有特征。
In both cases, the authors were working on language models in which roughly every word in the vocabulary makes a feature.

通过使用从Yelp下载的数据，您将了解如何安装TensorFlow和Keras、训练深度学习语言模型，并生成全新的餐厅评论。
Using downloaded data from Yelp, you will learn how to install TensorFlow and Keras, train a deep learning language model and generate new restaurant reviews.

借助最新的机器学习突破，语音识别开发者现在利用基于深度学习的语言模型，也称为神经语言模型。
With recent machine learning breakthroughs, speech recognition developers are now using language models based on deep learning, known as neural language models.

在spaCy中处理一段文本时，我们首先需要加载语言模型，然后在文本语料库上调用模型。
To process a piece of text in spaCy, first, we need to load our language model, followed by calling the model on a text corpus.

我们将看到可以编码专门信息的预训练，这些信息是对语言模型嵌入的补充。
Pre-training representations that can encode professional information will It will appear, this is a complement to the language model embedding.

NVIDIA深度学习应用研究副总裁BryanCatanzaro表示：“对于适用于自然语言的AI而言，大型语言模型正在为其带来革新。
The Vice President of applied deep learning research at Nvidia, Bryan Catanzaro said,“Large language models are revolutionising AI for natural language..

更重要的是，TIMIT任务涉及电话序列识别，与字序列识别不同，它允许弱电话双字母语言模型。
More importantly, the TIMIT task concerns phone-sequence recognition, which, unlike word-sequence recognition, allows weak phone bigram language models.

BERT的关键技术创新是将目前流行的注意力模型Transformer的双向训练应用到语言模型中。
BERT's key technical innovation is applying the bidirectional training of Transformer, a popular attention model, to language modelling.

在得到语言模型和初始的逐字翻译模型之后，就可以构建翻译系统的早期版本。
Equipped with a language model and the word-by-word initialization, we can now build an early version of a translation system.

同时，单一多语言模型分别在WMT'14和WMT'15基准上，超越了当前最佳的法英和德英翻译结果。
Similarly, a single multilingual model surpasses state-of-the-art results for French→English and German→English on WMT'14 and WMT'15 benchmarks respectively.

提升规模：我们观察到，该语言模型在表现上的提升与下游任务的提升密切相关。
Scaling the approach: We have observed that improvements in the performance of the language model are well correlated with improvements on downstream tasks.

让我们回到语言模型，我们想要基于所有前面的词来预测下一个词。
In language modeling, the goal is to predict the next word in a document given all of the previous words.

该解码器采用差分语言模型原理，这与[4，5]中描述的框架相类似。
The decoder employs the difference LM principle, similar to frameworks described in[4,5].

相反，语言模型所使用的概念可以直觉地理解，但总有模糊和不精确的地方。
The verbal models, on the other hand, use concepts which which can be understood intuitively, but are always inaccurate and ambiguous.

除了语言模型之外，还有许多其他有趣的改进，比如Facebook的多语言嵌入便是一个例子。
Besides language models, there have been plenty of other interesting advances like Facebooks multilingual embeddings, just to name another one.

语言模型用于以另一种语言输出目标文本，以源文本为条件。
A language model is used to output the destination text in the second language, conditioned on the source text.

寻找语言模型和机器人技术的进一步改进，将导致针对文本和物理世界任务的解决方案。
Look for additional improvements in language models and robotics that will result in solutions that target text and physical tasks.

除了语言模型以外，还有很多有趣进展，如Facebook的多语言嵌入系统。
Apart from language models, there are many other interesting advances such as Facebook multilingual embeddings.

此外，在模拟注意力和语言模型记忆方面也有很多有趣的工作。
We have also seen a lot of interesting work in modeling attention and memory for language models.