lemmata
简明释义
前提
题词（lemma 的复数）
英英释义
单词用法
定义lemmata | |
lemmata列表 | |
词汇lemmata | |
语法lemmata |
同义词
反义词
| 非词元 | The non-lemma form of a word is often used in informal contexts. | 一个词的非词元形式通常在非正式语境中使用。 | |
| 未变形形式 | In linguistics, the uninflected form serves as a base for deriving other forms. | 在语言学中，未变形形式作为派生其他形式的基础。 |
例句
1.The grammatical information for the lemmata is accessed.
可以访问引词的语法信息。
2.The grammatical information for the lemmata is accessed.
可以访问引词的语法信息。
3.The software uses lemmata to improve search accuracy by matching different word forms.
该软件使用lemmata通过匹配不同的词形来提高搜索准确性。
4.In linguistics, the term lemmata refers to the base forms of words, such as 'run' for 'running'.
在语言学中，术语lemmata指的是单词的基本形式，比如“run”代表“running”。
5.The dictionary lists all the lemmata relevant to the subject matter.
字典列出了与主题相关的所有lemmata。
6.In computational linguistics, algorithms are designed to identify lemmata from inflected forms.
在计算语言学中，算法被设计用来从屈折形式中识别lemmata。
7.When studying morphology, students often analyze various lemmata to understand word formation.
在研究形态学时，学生通常会分析各种lemmata以理解词汇形成。
作文
In the study of linguistics and language, the term lemmata (词元) plays a crucial role in understanding the structure and function of words. A lemma is essentially the base form of a word from which various inflections can be derived. For instance, the lemmata (词元) for the verb 'to run' would include 'run,' 'running,' and 'ran.' Understanding lemmata (词元) is essential for anyone delving into the fields of grammar, lexicography, or computational linguistics.When we analyze a language, we often focus on how words change form depending on their grammatical function. This is where lemmata (词元) come into play. They allow linguists to categorize and simplify the vast array of word forms into more manageable units. For example, in English, the word 'child' has the lemmata (词元) 'child' and 'children,' which represent its singular and plural forms, respectively. By identifying these lemmata (词元), researchers can better understand patterns of usage and meaning across different contexts.In natural language processing (NLP), the concept of lemmata (词元) is vital for developing algorithms that can accurately interpret and generate human language. When a computer processes text, it often needs to reduce words to their lemmata (词元) to analyze them effectively. For instance, if a program encounters the words 'better' and 'best,' it will recognize that these terms derive from the lemma 'good.' This process of lemmatization helps in tasks such as sentiment analysis, where understanding the core meaning of words is essential for accurate interpretation.Moreover, lemmata (词元) are not limited to verbs; they apply to nouns, adjectives, and other parts of speech as well. For example, the lemmata (词元) for the adjective 'happier' would be 'happy,' while the lemmata (词元) for the noun 'geese' would be 'goose.' This systematic approach allows language scholars to create comprehensive dictionaries and databases that reflect the richness of a language.In educational settings, teaching students about lemmata (词元) can enhance their vocabulary and comprehension skills. By focusing on the lemmata (词元) of words, students can learn to identify related forms and meanings, thereby enriching their understanding of language. For example, recognizing that 'speak,' 'speaks,' 'spoke,' and 'speaking' all derive from the same lemma can help learners grasp the nuances of verb tenses and aspects more easily.In conclusion, the term lemmata (词元) is fundamental in the study of language and linguistics. It provides a framework for understanding how words function and interact within a language. Whether in academic research, natural language processing, or education, the concept of lemmata (词元) serves as a cornerstone for analyzing and appreciating the complexity of human communication. As we continue to explore the intricacies of language, the importance of lemmata (词元) will undoubtedly remain a focal point in our understanding of linguistic structures and their applications.
