thunlp/WantWords

Features

• Concept-to-Word Reverse Lookups - Finds a word that matches a given description or concept when the exact term is forgotten.
• Description-Based Word Retrievers - A search engine that looks up words across Chinese and English language pairs using semantic descriptions.
• Semantic Search Engines - Retrieves words based on meaning rather than exact spelling or prefix matching.
• Multilingual Search Engines - Looks up words across Chinese and English language pairs with bilingual support.
• Description-to-Word Embedding Matchers - Converts user descriptions and dictionary entries into vector embeddings to compute semantic similarity for reverse lookup.
• English-Chinese Translation Resources - Looks up words in Chinese, Chinese-English, English, or English-Chinese modes.
• Description-Based Word Retrievers - Returns words matching a user's written description, solving the tip-of-the-tongue problem.
• Relevance Scoring - Ranks matched words by the cosine distance between description and entry embeddings with optional tie-breaking by lexical properties.
• Grammatical Category Filters - Restricts dictionary results to a selected grammatical category such as noun, verb, or adjective.
• Grammatical Category Result Filters - Restricts returned words to a selected grammatical category such as noun, verb, or adjective.
• Part-of-Speech Result Filters - Restricts dictionary results to a specific grammatical category like noun, verb, or adjective.
• Post-Retrieval Part-of-Speech Filters - Applies grammatical category constraints as a post-retrieval filter over candidate word sets using pre-tagged lexical data.
• Lexical Property Sorters - Orders matching words by relevance, pinyin, stroke count, or first-character stroke count.
• Lexical Property Sorters - Orders matching words by relevance, pinyin, or stroke count for easier selection.
• Cross-Language Lexicon Indexes - Maintains separate inverted indexes for Chinese, English, and bilingual word lists to enable cross-language queries.

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