What is the translation of " 语言模型 " in English?

• language model
• language models

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

MITCSAIL的TextFooler生成对抗性文本以增强自然语言模型.
MIT CSAIL's TextFooler generates adversarial text to strengthen natural language models.

在2019年8月，英伟达推出了Megatron自然语言模型。
In August 2019, Nvidia introduced the Megatron natural language model.

年8月，英伟达推出了Megatron自然语言模型。
In August 2019, Nvidia introduced the Megatron natural language model.

年8月，英伟达推出Megatron自然语言模型。
In August 2019, Nvidia introduced the Megatron natural language model.

在2019年8月,NVIDIA推出了Megatron自然语言模型。
In August 2019, Nvidia presented the Megatron natural language model.

惊人的是，对声学模型和语言模型而言都是如此。
Surprisingly, this is the case for both acoustic modeling and language modeling.

年是语言模型之年，对吗?
Was the year of language models, right?

语言模型是什么？?
What is the Language Model?

语言模型是什么？?
What is a Language Model?

语言模型提供上下文来区分听起来相似的单词和短语。
The language model provides context to distinguish between words and phrases that sound similar.

利用语言模型优化.
Optimization of language models.

继续阅读使用TensorFlow和Keras构建一个生成文本的语言模型.
Continue reading Use TensorFlow and Keras to build a language model for text generation.

能够说明这些挑战的ASR系统模块之一是语言模型。
One of the ASR system modules that exemplifies these challenges is the language model.

上面我们提到了语言模型.
Above we talked about prototype language.

该项目还强调了训练此类语言模型所涉及的巨大碳足迹。
(The project also underlined the hefty carbon footprint involved in training such language models.).

同时，语言模型通过衡量目标语言中每个被预测单词的常见性，对预测进一步精确细化。
Meanwhile, a language model further refines the prediction by weighing how common every predicted word is in the target language..

我们还将研究整合个人语言模型，旨在更准确地在系统中模仿个人的写作风格。
We are also working on incorporating personal language models, designed to more accurately emulate an individual's style of writing into our system.

第三个和最后一个模型-也称为语言模型-然后添加单词的上下文以理解整个对话。
The third and the final model- also called the Language model- then adds context of the words to make sense of the entire conversation.

生成式人工智能语言模型，如OpenAI的GPT-2，可以生成令人印象深刻的语义连贯的文本，但是控制文….
Generative AI language models like OpenAI's GPT-2 produce impressively coherent and grammatical text, but controlling the attributes of this text- such as the….

添加语言模型嵌入可以在许多不同的任务中提供比较先进的技术更大的改进，如下面的图13所示。
Adding language model embeddings gives a large improvement over the state-of-the-art across many different tasks as can be seen in Figure 13 below.

在信息检索环境中，通常会对单语法语言模型进行平滑处理，以避免出现P(term)=0的情况。
In information retrieval contexts, unigram language models are often smoothed to avoid instances where P(term)= 0.

使用多个前向和后向运行的RNNLMs，语言模型可以rescoring，此外，一个基于词后的系统的融入，能提供20%的提升。
Language model rescoring with multiple forward and backward running RNNLMs, and word posterior-based system combination provide a 20% boost.

与其他训练数据一样，语言模型基于大量真实的人类言语，并转录成文本。
Like other training data, the language models are based on large amounts of real human speech, transcribed into text.

以有价值的方式训练这些语言模型需要大量的计算能力和电力。
Training these language models in a valuable way requires a monster amount of computing power and electricity.

他们的方法称为通用语言模型微调(ULMFiT)，其性能优于最先进的结果，误差降低了18-24%。
Their method, called Universal Language Model Fine-Tuning(ULMFiT) outperforms state-of-the-art results, reducing the error by 18-24%.

虽然令人印象深刻的结果是超越现有语言模型所取得的显着飞跃，但所涉及的技术并不是全新的。
While the impressive results are a remarkable leap beyond what existing language models have achieved, the technique involved isn't exactly new.

如果某个语言模型在TensorFlow中已存在，则从模型到概念证明只需要几天时间，而不是几周时间；.
If a language model already exists in TensorFlow, then going from model to proof of concept can take days rather than weeks;

我们运行语言模型300次迭代，批量大小为32，并计算每秒处理的样本数。
We ran the language model for 300 iterations with a batch size of 32 and computed the number of samples processed per second.

单独地，语言模型可用于文本或语音生成；例如：.
Alone, language models can be used for text or speech generation; for example:.