OpenNLP - 命令行界面
OpenNLP 提供命令行界面 (CLI),可通过命令行执行不同的操作。在本章中,我们将通过一些示例来展示如何使用 OpenNLP 命令行界面。
标记化
input.txt
Hi. How are you? Welcome to Tutorialspoint. We provide free tutorials on various technologies
语法
> opennlp TokenizerME path_for_models../en-token.bin <inputfile..> outputfile..
命令
C:\> opennlp TokenizerME C:\OpenNLP_models/en-token.bin <input.txt >output.txt
输出
Loading Tokenizer model ... done (0.207s) Average: 214.3 sent/s Total: 3 sent Runtime: 0.014s
output.txt
Hi . How are you ? Welcome to Tutorialspoint . We provide free tutorials on various technologies
句子检测
input.txt
Hi. How are you? Welcome to Tutorialspoint. We provide free tutorials on various technologies
语法
> opennlp SentenceDetector path_for_models../en-token.bin <inputfile..> outputfile..
命令
C:\> opennlp SentenceDetector C:\OpenNLP_models/en-sent.bin <input.txt > output_sendet.txt
输出
Loading Sentence Detector model ... done (0.067s) Average: 750.0 sent/s Total: 3 sent Runtime: 0.004s
Output_sendet.txt
Hi. How are you? Welcome to Tutorialspoint. We provide free tutorials on various technologies
命名实体识别
input.txt
<START:person> <START:person> Mike <END> <END> is senior programming manager and <START:person> Rama <END> is a clerk both are working at Tutorialspoint
语法
> opennlp TokenNameFinder path_for_models../en-token.bin <inputfile..
命令
C:\>opennlp TokenNameFinder C:\OpenNLP_models\en-ner-person.bin <input_namefinder.txt
输出
Loading Token Name Finder model ... done (0.730s) <START:person> <START:person> Mike <END> <END> is senior programming manager and <START:person> Rama <END> is a clerk both are working at Tutorialspoint Average: 55.6 sent/s Total: 1 sent Runtime: 0.018s
词性标记
Input.txt
Hi. How are you? Welcome to Tutorialspoint. We provide free tutorials on various technologies
语法
> opennlp POSTagger path_for_models../en-token.bin <inputfile..
命令
C:\>opennlp POSTagger C:\OpenNLP_models/en-pos-maxent.bin < input.txt
输出
Loading POS Tagger model ... done (1.315s) Hi._NNP How_WRB are_VBP you?_JJ Welcome_NNP to_TO Tutorialspoint._NNP We_PRP provide_VBP free_JJ tutorials_NNS on_IN various_JJ technologies_NNS Average: 66.7 sent/s Total: 1 sent Runtime: 0.015s