找回密碼
 To register

QQ登錄

只需一步,快速開始

掃一掃,訪問微社區(qū)

打印 上一主題 下一主題

Titlebook: Efficient Parsing for Natural Language; A Fast Algorithm for Masaru Tomita Book 1986 Springer Science+Business Media New York 1986 Parsing.

[復制鏈接]
樓主: tricuspid-valve
11#
發(fā)表于 2025-3-23 10:01:00 | 只看該作者
12#
發(fā)表于 2025-3-23 15:05:38 | 只看該作者
Informal Description of the Algorithm,ends the standard LR parsing algorithm with the idea of a graph-structured stack, so that it can handle natural language grammars. Finally, section 2.4 describes how to represent all possible parse trees efficiently, so that as the ambiguity of a sentence grows exponentially, it takes at most polynomial space to represent them.
13#
發(fā)表于 2025-3-23 18:10:08 | 只看該作者
Concluding Remarks, processing. The experiments have shown that this parsing algorithm seems significantly more efficient than Earley’s algorithm and perhaps any other general context-free parsing algorithms, as far as practical natural language processing is concerned.
14#
發(fā)表于 2025-3-23 22:37:47 | 只看該作者
https://doi.org/10.1007/978-3-322-90189-7This chapter, which may be omitted without loss of context, presents a more precise specification of the algorithm. Section 4.2 presents a formal specification of the algorithm as a recognizer (i.e. no parse forest is produced), and section 4.3 gives a formal specification of the algorithm as a parser (i.e. a parse forest is produced).
15#
發(fā)表于 2025-3-24 03:10:07 | 只看該作者
16#
發(fā)表于 2025-3-24 06:36:46 | 只看該作者
17#
發(fā)表于 2025-3-24 13:20:42 | 只看該作者
18#
發(fā)表于 2025-3-24 16:49:13 | 只看該作者
The Springer International Series in Engineering and Computer Sciencehttp://image.papertrans.cn/e/image/302993.jpg
19#
發(fā)表于 2025-3-24 23:04:48 | 只看該作者
https://doi.org/10.1007/978-1-4757-1885-0Parsing; algorithms; cognition; expert system; grammar; machine translation; natural language; natural lang
20#
發(fā)表于 2025-3-25 02:20:30 | 只看該作者
 關于派博傳思  派博傳思旗下網站  友情鏈接
派博傳思介紹 公司地理位置 論文服務流程 影響因子官網 吾愛論文網 大講堂 北京大學 Oxford Uni. Harvard Uni.
發(fā)展歷史沿革 期刊點評 投稿經驗總結 SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學 Yale Uni. Stanford Uni.
QQ|Archiver|手機版|小黑屋| 派博傳思國際 ( 京公網安備110108008328) GMT+8, 2025-10-6 12:47
Copyright © 2001-2015 派博傳思   京公網安備110108008328 版權所有 All rights reserved
快速回復 返回頂部 返回列表
高邑县| 河东区| 峨眉山市| 阳高县| 新野县| 麻栗坡县| 赫章县| 双柏县| 繁昌县| 南川市| 无极县| 迁安市| 彝良县| 水城县| 福清市| 如东县| 伊金霍洛旗| 武汉市| 昌乐县| 海安县| 新营市| 得荣县| 松溪县| 台北市| 石棉县| 包头市| 凤山市| 休宁县| 镇安县| 临清市| 沙湾县| 黄梅县| 元江| 信丰县| 西畴县| 汽车| 梁山县| 邻水| 康乐县| 朔州市| 仙游县|