Welches Wort-Bedeutungselement aktiviert wird, wird durch den lokalen Kontext bestimmt. Die spezifische Bedeutung der Polysemie kann leicht von einer Person entsprechend dem Kontext erhalten werden, deren Ursache darin besteht, dass die Menschen schnell Informationen? Ber die Bedeutung des entscheiden wortes aus dem Kontext erhalten erhalten erhalten erhalten erhalten erhalten erhalten erhalten erhalten erhalten erhalten erhalten erhalten erhalten erhalten erhalten erhalten erhhtenten of meaning word is activated is determined by local context. The specific meaning of polysemy can be easily obtained by a person based on context, so people can quickly get information about the meaning of an important word from the context, namely the development of the current semantic field, a process that is difficult to say for an average computer. Having understood the process of processing the language of the human brain, we think that the identification of polysemic words in machine translation can be divided into two phases, the first step is to create the current semantic field. Suppose a semantic field is created from a series of keywords that have arisen. For example, when we read the words "treat people, warm-hearted, friendly, smiling," and so on, we think that they are related to the "emotional realm." The second level is to use the current semantic field to determine the linguistic meaning of the polysemy, only the value is activated relative to the current semantic field. For example, “hot” under the “Emotion” field is interpreted as hot and friendly, and the “Temperature” field is interpreted as hot. use the current semantic field to determine the linguistic meaning of polysemy, only the value is activated in relation to the current semantic field. For example, “hot” under the “Emotion” field is interpreted as hot and friendly, and the “Temperature” field is interpreted as hot. use the current semantic field to determine the linguistic meaning of the polysemy, only the value is activated relative to the current semantic field. For example, “hot” under the “Emotion” field is interpreted as hot and friendly, and the “Temperature” field is interpreted as hot.