You will be presented with a citation segment from the section of an NLP research paper, as well as the context surrounding that citation. Classify the intent behind this citation by choosing from one of the following categories:
- Background: provides context or foundational information related to the topic.
- Extends: builds upon the cited work.
- Uses: applies the methods or findings of the cited work.
- Motivation: cites the work as inspiration or rationale for the research.
- CompareOrContrast: compares or contrasts the cited work with others.
- FutureWork: cites the work as a direction for future research.

Your answer should be a single word from the following list of options: ["Background", "Extends", "Uses", "Motivation", "CompareOrContrast", "FutureWork"]. Do not include any other text in your response.

Section Title:
related work

Context before the citation:
Our approach to the problem is more compatible with the empirical evidence we presented in our prior work (Li et al., 2014) where we analyzed the output of Chinese to English machine translation and found that there is no correlation between sentence length and MT quality. In contrast, the model we propose here can be used to predict when segmentation is at all necessary. Similar to work in text simplification, the simplification rules are applied to all sentences meeting certain criteria, normally to all sentences longer than a predefined threshold or where certain conjunctions or coordinations are present.

Citation Sentence:
Our approach to the problem is more compatible with the empirical evidence we presented in our prior work ( Li et al. , 2014 ) where we analyzed the output of Chinese to English machine translation and found that there is no correlation between sentence length and MT quality .

Context after the citation:
Rather we showed that the quality of translation was markedly inferior, compared to overall translation quality, for sentences that were translated into multiple English sentences. This prior work was carried over a dataset containing a single reference translation for each Chinese sentence. In the work presented in this paper, we strengthen our findings by examining multiple reference translations for each Chinese sentence. We define heavy sentences based on agreement of translator choices and reader preferences.
CompareOrContrast