贪吃的人
发表于 2025-3-21 17:12:39
书目名称Machine Translation影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0620776<br><br> <br><br>书目名称Machine Translation影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0620776<br><br> <br><br>书目名称Machine Translation网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0620776<br><br> <br><br>书目名称Machine Translation网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0620776<br><br> <br><br>书目名称Machine Translation被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0620776<br><br> <br><br>书目名称Machine Translation被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0620776<br><br> <br><br>书目名称Machine Translation年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0620776<br><br> <br><br>书目名称Machine Translation年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0620776<br><br> <br><br>书目名称Machine Translation读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0620776<br><br> <br><br>书目名称Machine Translation读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0620776<br><br> <br><br>
睨视
发表于 2025-3-21 23:21:37
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凶残
发表于 2025-3-22 02:34:06
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Gorilla
发表于 2025-3-22 08:20:23
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PANEL
发表于 2025-3-22 09:28:57
Effective Hypotheses Re-ranking Model in Statistical Machine Translation,ain UM-Corpus and evaluated on IWSLT Chinese-English TED Talk data under the configurations of . translation and . translation respectively. Empirical results real that sentence level translation model outperforms the document level and the baseline system.
无效
发表于 2025-3-22 14:47:02
Recognizing and Reordering the Translation Units in a Long NP for Chinese-English Patent Machine Trinese NP, we built some formalized rules to recognize the boundaries of translation units using the boundary words to identify what to reorder. At last, we used a rule-based MT system to test our work, and the experimental results showed that our rule-based method and strategy were very efficient.
可触知
发表于 2025-3-22 21:08:20
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工作
发表于 2025-3-22 22:53:09
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Deadpan
发表于 2025-3-23 03:20:56
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Debate
发表于 2025-3-23 06:47:22
1865-0929 na Workshop on Machine Translation, CWMT 2014, held in Macau, China, in November 2014. The 10 revised full English papers presented were carefully reviewed and selected from 15 submissions of English papers. The papers cover the following topics: machine translation; data selection; word segmentatio