List of Tables

 

Chapter 1. Getting started taming text

Table 1.1. Processing text presents challenges at many levels, from handling character encodings to inferring meaning in the context of the world around us.

Chapter 2. Foundations of taming text

Table 2.1. Definitions and examples of commonly occurring lexical categories

Table 2.2. Examples of commonly occurring phrasal categories

Table 2.3. Examples of noun morphology when the noun is based on a verb

Table 2.4. Examples of noun morphology when the noun is based on an adjective

Table 2.5. Examples of regular verb morphology and common past participle ending for irregular verbs

Table 2.6. Sentence split by whitespace

Table 2.7. Sentence split by Solr StandardTokenizer

Table 2.8. Sentence split by OpenNLP english.Tokenizer

Table 2.9. Sentence split by OpenNLP SimpleTokenizer

Table 2.10. Definitions and examples of commonly occurring parts of speech

Table 2.11. An example n-gram window of size 5 at position 6 in a sentence

Table 2.12. N-grams of various sizes

Table 2.13. Common file formats

Chapter 3. Searching

Table 3.1. Common analysis techniques

Table 3.2. Common query types and operators in search

Table 3.3. Solr Field options and attributes

Table 3.4. Common SolrRequestHandlers

Table 3.5. Common Solr input parameters

Table 3.6. Common evaluation techniques

Table 3.7. Common performance-improving analysis techniques

Table 3.8. Example document collection

Table 3.9. Alternative scoring methods and models

Table 3.10. Search performance categories