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Various sentences using the syllables mā, má, mǎ, mà, and ma are often used to illustrate the importance of tones to foreign learners. One example: Chinese: 妈妈骑马马慢妈妈骂马; pinyin: māma qí mǎ, mǎ màn, māma mà mǎ; lit. 'Mother is riding a horse... the horse is slow... mother scolds the horse'. [36]
overlapping antonyms, a pair of comparatives in which one, but not the other, implies the positive: An example is "better" and "worse". The sentence "x is better than y" does not imply that x is good, but "x is worse than y" implies that x is bad. Other examples are "faster" and "slower" ("fast" is implied but not "slow") and "dirtier" and ...
Hindi: कल and Urdu: کل (kal) may mean either "yesterday" or "tomorrow" (disambiguated by the verb in the sentence).; Icelandic: fram eftir can mean "toward the sea" or "away from the sea" depending on dialect.
The abbreviation e.g. stands for the Latin exempli gratiā "for example", and should be used when the example(s) given are just one or a few of many. The abbreviation i.e. stands for the Latin id est "that is", and is used to give the only example(s) or to otherwise qualify the statement just made.
Reductio ad absurdum, painting by John Pettie exhibited at the Royal Academy in 1884. In logic, reductio ad absurdum (Latin for "reduction to absurdity"), also known as argumentum ad absurdum (Latin for "argument to absurdity") or apagogical arguments, is the form of argument that attempts to establish a claim by showing that the opposite scenario would lead to absurdity or contradiction.
For example, changing a complex sentence into two simpler sentences while maintaining the overall meaning falls into this category. Discourse-based changes are alterations that affect the larger discourse or text structure, such as reordering points in a paragraph or changing the way arguments are presented without altering the factual content.
Mitigation is the reduction of something harmful that has occurred or the reduction of its harmful effects. It may refer to measures taken to reduce the harmful effects of hazards that remain in potentia, or to manage harmful incidents that have already occurred.
Word2vec is a technique in natural language processing (NLP) for obtaining vector representations of words. These vectors capture information about the meaning of the word based on the surrounding words.