建立一个英文单词提示器，接收给定单词的前三个字母，返回10个新词，这些新词包括以给定前三个字母开头的单词或押韵的单词或具有类似语义的单词。
给定单词的前三个字母，比如输入“ber”。
A possible solution:

You can use a combination of word embeddings and string matching algorithms to generate a list of candidate words based on the given prefix "ber". Here are the steps:

1. Load a pre-trained word embedding model, such as GloVe or Word2Vec, which can represent each word as a high-dimensional vector.

2. Retrieve all words that start with "ber" from a dictionary or corpus.

3. Convert each word into a vector representation using the word embedding model.

4. Compute the cosine similarity between the input vector and all other word vectors in the model, and sort the list of candidate words based on their similarity scores.

5. Apply additional filtering or ranking criteria, such as whether the candidate word rhymes with the input word, or whether it shares common semantic features, to further prune or reorder the list.

Example output:

Here are ten possible words you can generate using the above approach for the input prefix "ber":
- berry
- berlin
- bernard
- berate
- bergamot
- berserk
- beriberi
- beryl
- berth
- beret