4.1 使用分析器 分析（Analysis），在Lucene当中指的是将域（Field）文本转换为最基本的索引表示单元——项（Term）的过程。在搜索过程中，这些项用于决定什么样的文档能匹配查询条件。例如，如果这句话“For example, if this sentence were indexed into a field”被索引到一个域（Field）中（假设域类型为Field.Text），相应产生的项可能是以for和example两个单词打头，其它的项随之按照它在句子中出现的先后顺序逐个
SPEECH and LANGUAGE PROCESSING An Introduction to Natural Language Processing, Computational Linguistics, and Speech Recognition Second Edition by Daniel Jurafsky and James H. Martin Last Update January 6, 2009 The 2nd edition is now avaiable. A mil
String tokenization is defined as the problem that consists of breaking up a string into tokens which are seperated by delimiters. Both tokens and delimiters are themselves strings. Commonly used string structures that require the use of string toke
Design a schema to include text indexing details like tokenization, stemming, and synonyms Import data using various formats like CSV, XML, and from databases, and extract text from common document formats Search using Solr’s rich query syntax, perf
1 State of the art 3 1.1 What is search? 4 Categorizing information 5 ■ Using a detailed search screen 5 Using a user-friendly search box 7 ■ Mixing search strategies 7 Choosing a strategy: the first step on a long road 8 1.2 Pitfalls of search engi
The Lancaster Corpus of Mandarin Chinese (LCMC) is designed as a Chinese match for the FLOB and FROWN corpora for modern British and American English. The corpus is suitable for use in both monolingual research into modern Mandarin Chinese and cross
Tokenization of raw text is a standard pre-processing step for many NLP tasks. For English, tokenization usually involves punctuation splitting and separation of some affixes like possessives. Other languages require more extensive token pre-process
http://www.amazon.com/Python-Text-Processing-NLTK-Cookbook/dp/1782167854/ Paperback: 310 pages Publisher: Packt Publishing - ebooks Account (August 26, 2014) Language: English Over 80 practical recipes on natural language processing techniques using
This book will show you the essential techniques of text and language processing. Starting with tokenization, stemming, and the WordNet dictionary, you'll progress to part-of-speech tagging, phrase chunking, and named entity recognition. You'll lear
nltk3.0 NLTK is a leading platform for building Python programs to work with human language data. It provides easy-to-use interfaces to over 50 corpora and lexical resources such as WordNet, along with a suite of text processing libraries for classi
Build cool NLP and machine learning applications using NLTK and other Python libraries About This Book Extract information from unstructured data using NLTK to solve NLP problems Analyse linguistic structures in text and learn the concept of semanti
This book will show you the essential techniques of text and language processing. Starting with tokenization, stemming, and the WordNet dictionary, you'll progress to part-of-speech tagging, phrase chunking, and named entity recognition. You'll lear
Artificial intelligence is becoming increasingly relevant in the modern world where everything is driven by data and automation. It is used extensively across many fields such as image recognition, robotics, search engines, and self-driving cars. In
Contents 1 Data Acquisition and Linguistic Resources ............................................................... 1 1.1 Introduction ............................................................................................................1 1.2
