Crate harper_pos_utils

Structs§

BrillChunker: A Chunker implementation based on the work by Eric Brill.
BrillTagger: A Tagger implementation based on the work by Eric Brill.
BurnChunker: A Chunker that uses a BiLSTM and the Burn machine learning framework.
CachedChunker: Wraps any chunker implementation to add an LRU Cache. Useful for incremental lints.
FreqDict: A mapping between words (normalized to lowercase) and their most common UPOS tag. Can be used as a minimally accurate Tagger.
FreqDictBuilder: A mapping between words and the frequency of each UPOS. If an element is missing from the map, it’s count is assumed to be zero.
UPOSFreqDict: Tracks the number of times any given UPOS is associated with a noun phrase. Used as the baseline for the chunker.
UPOSIter: An iterator over the variants of UPOS

UPOS: Represents the universal parts of speech as outlined by universaldependencies.org.

Chunker: An implementer of this trait is capable of identifying the noun phrases in a provided sentence. See here for more details on what this is and how it can work.
Tagger: An implementer of this trait is capable of assigned Part-of-Speech tags to a provided sentence. This is widely useful for various applications. See here.