ℹ️ Skipped - page is already crawled
| Filter | Status | Condition | Details |
|---|---|---|---|
| HTTP status | PASS | download_http_code = 200 | HTTP 200 |
| Age cutoff | PASS | download_stamp > now() - 6 MONTH | 1.7 months ago |
| History drop | PASS | isNull(history_drop_reason) | No drop reason |
| Spam/ban | PASS | fh_dont_index != 1 AND ml_spam_score = 0 | ml_spam_score=0 |
| Canonical | PASS | meta_canonical IS NULL OR = '' OR = src_unparsed | Not set |
| Property | Value |
|---|---|
| URL | https://www.cnblogs.com/huangyc/p/10152296.html |
| Last Crawled | 2026-04-12 15:33:36 (1 month ago) |
| First Indexed | 2019-05-06 02:56:21 (7 years ago) |
| HTTP Status Code | 200 |
| Content | |
| Meta Title | Facebook的Fairseq模型详解(Convolutional Sequence to Sequence Learning) - hyc339408769 - 博客园 |
| Meta Description | 1. 前言 近年来,NLP领域发展迅速,而机器翻译是其中比较成功的一个应用,自从2016年谷歌宣布新一代谷歌翻译系统上线,神经机器翻译(NMT,neural machine translation)就取代了统计机器翻译(SMT,statistical machine translation),在翻译 |
| Meta Canonical | null |
| Boilerpipe Text | heavy column, fetched on demand |
| Markdown | heavy column, fetched on demand |
| Readable Markdown | heavy column, fetched on demand |
| ML Classification | |
| ML Categories | null |
| ML Page Types | null |
| ML Intent Types | null |
| Content Metadata | |
| Language | zh-cn |
| Author | null |
| Publish Time | not set |
| Original Publish Time | 2019-05-06 02:56:21 (7 years ago) |
| Republished | No |
| Word Count (Total) | 185 |
| Word Count (Content) | 121 |
| Links | |
| External Links | 5 |
| Internal Links | 30 |
| Technical SEO | |
| Meta Nofollow | No |
| Meta Noarchive | No |
| JS Rendered | No |
| Redirect Target | null |
| Performance | |
| Download Time (ms) | 3,572 |
| TTFB (ms) | 3,570 |
| Download Size (bytes) | 10,259 |
| Location | |
| Host ID | 46 (laksa046) |
| Partition ID | 26 |
| Root Hash | 10938660598884985246 |
| Unparsed URL | com,cnblogs!www,/huangyc/p/10152296.html s443 |