What is a significant limitation of early N-gram language models?

Question

BlackTom AI · Accepted Answer

Exploring the question about early N-gram language models, we need to assess what each option claims and relate it to how N-gram models operate.
Option 1: 'They require large amounts of labeled data for training.' Traditional N-gram models do not rely on labeled data at all; they are essentially count-based models built from raw text to estimate P(w|history) based on observed frequencies. Therefore, this statement is misleading because labeling is not a core requirement of classic N-gram approaches.
Option 2: 'They are unable to capture long-range dependencies and context effectively.' This is a well-known limitation: N-gram models only consider a fixed window of preceding tokens (the n-1 history) and thus fail to model dependencies that stretch beyond that window, making them poor at capturing long-range or global context.
Option 3: 'They can only be used for text classification tasks.' In reality, N-gram models are typically used for language modeling and generation, predicting the next word, rather than being restricted to text classification. This claim misrepresents their primary use cases and capabilities, though they can be repurposed for tasks like classification with features.

Putting these assessments together, the central flaw of early N-gram models is their fixed-context limitation, which prevents learning long-range dependencies, making the second option the accurate description among the given choices.

Learning AI Through Visualization 4 Module 5 Quiz

What is a significant limitation of early N-gram language models?

查看解析

登录即可查看完整答案

类似问题

What is the primary goal of language modeling?

Why does ChatGPT sometimes choose lower-ranked words instead of always selecting the word with the highest probability?

Fill in the blank. What does this definition refer to? ________________________________ is any system designed to assign probability to some aspect of language. How likely is it that a letter, or a word, or a phrase, will occur in a larger body of text, often called the corpus.

Mark all of the following application examples, where n-gram models are likely to work well:

In a consumer society, many adults channel creativity into buying things

Economic stress and unpredictable times have resulted in a booming industry for self-help products

People born without creativity never can develop it

A product has a selling price of $20, a contribution margin ratio of 40% and fixed cost of $120,000. To make a profit of $30,000. The number of units that must be sold is: Type the number without $ and a comma. Eg: 20000

更多留学生实用工具

考试浏览器助手

风格化写作助手

论文查重助手

文献引用助手

课堂转译助手

课堂笔记助手

Quiz搜索助手

学校历年真题

智能刷题助手

智能匹配练习

希望你的学习变得更简单