Get the free Learning Subcategorization Frames from Corpora - Semantic Scholar

P2 k2/cnv p k1 k2 / cv cnv The log likelihood statistic is then given by -2log 2 logL p1 k1 cv logL p2 k2 cnv logL p k2 cnv logL p k2 cnv where Corpus Size Observed Vectors 967KB Words 5. SCs are tagged by the conjunction adverb or pronoun that introduces them. NPs N1 N2 N3 Pronouns N1-A N1-P N3-P N1-D N2-D PPs P1 P2 P3 P4 SCs ADVBs ADVP1 ADVP2 ADVP3 The verb itself is tagged as being active or passive. 10 Stamatatos E. N. Fakotakis and G. Kokkinakis 2000 A Practical Chunker for...

How to fill out learning subcategorization frames from

How to fill out learning subcategorization frames from

1. To fill out learning subcategorization frames, follow these steps:
2. Start by identifying the target word or phrase that you want to analyze. This could be a verb, noun, or any other word or phrase that you want to study.
3. Look for example sentences or text passages that contain the target word or phrase. These examples should show the word or phrase being used in different contexts.
4. Analyze each example sentence and try to identify the syntactic patterns or frames in which the target word or phrase appears. Pay attention to the words and phrases that typically occur before or after the target word or phrase.
5. Create a list or table to record the different frames or patterns that you have identified. Each entry should include the target word or phrase and the surrounding words or phrases that form the frame.
6. Keep adding example sentences and identifying new frames until you have a comprehensive list of subcategorization frames for the target word or phrase.
7. Review and revise your list to ensure accuracy and completeness. Make sure that each frame is clearly defined and that it captures the different syntactic patterns in which the target word or phrase can appear.
8. Organize your list in a way that is easy to reference and understand. You can categorize the frames based on the syntactic properties or functions they represent.
9. Use your list of subcategorization frames to study and analyze the target word or phrase in different contexts. This can help you understand its syntactic behavior and usage more effectively.

Who needs learning subcategorization frames from?

1. Learning subcategorization frames can be useful for the following individuals or groups:
2. - Linguists: Linguists who study language structures and syntax can benefit from learning subcategorization frames to analyze how words or phrases are used in different syntactic contexts.
3. - Language Learners: Language learners can use subcategorization frames to understand the grammatical patterns and usage of different words or phrases in a targeted language.
4. - Teachers: Teachers of language and grammar can incorporate subcategorization frames into their teaching materials to help students grasp the syntactic behavior of words or phrases.
5. - Natural Language Processing (NLP) Researchers: NLP researchers can use subcategorization frames to develop computational models and algorithms for natural language understanding and processing.
6. - Translators: Translators can use subcategorization frames to enhance their understanding of how words or phrases are used in different languages, aiding in accurate translation.
7. - Content Writers: Content writers can utilize subcategorization frames to improve their writing by understanding the appropriate usage and collocations of words or phrases.

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