Notice: Function _load_textdomain_just_in_time was called incorrectly. Translation loading for the betterdocs domain was triggered too early. This is usually an indicator for some code in the plugin or theme running too early. Translations should be loaded at the init action or later. Please see Debugging in WordPress for more information. (This message was added in version 6.7.0.) in /data/user/htdocs/wp-includes/functions.php on line 6114

Notice: Function _load_textdomain_just_in_time was called incorrectly. Translation loading for the jnews-view-counter domain was triggered too early. This is usually an indicator for some code in the plugin or theme running too early. Translations should be loaded at the init action or later. Please see Debugging in WordPress for more information. (This message was added in version 6.7.0.) in /data/user/htdocs/wp-includes/functions.php on line 6114

Notice: Function _load_textdomain_just_in_time was called incorrectly. Translation loading for the wp-statistics domain was triggered too early. This is usually an indicator for some code in the plugin or theme running too early. Translations should be loaded at the init action or later. Please see Debugging in WordPress for more information. (This message was added in version 6.7.0.) in /data/user/htdocs/wp-includes/functions.php on line 6114

Notice: Function _load_textdomain_just_in_time was called incorrectly. Translation loading for the wpdiscuz domain was triggered too early. This is usually an indicator for some code in the plugin or theme running too early. Translations should be loaded at the init action or later. Please see Debugging in WordPress for more information. (This message was added in version 6.7.0.) in /data/user/htdocs/wp-includes/functions.php on line 6114

Notice: 函数 _load_textdomain_just_in_time 的调用方法不正确jnews 域的翻译加载触发过早。这通常表示插件或主题中的某些代码运行过早。翻译应在 init 操作或之后加载。 请查阅调试 WordPress来获取更多信息。 (这个消息是在 6.7.0 版本添加的。) in /data/user/htdocs/wp-includes/functions.php on line 6114

Notice: 函数 _load_textdomain_just_in_time 的调用方法不正确jnews-like 域的翻译加载触发过早。这通常表示插件或主题中的某些代码运行过早。翻译应在 init 操作或之后加载。 请查阅调试 WordPress来获取更多信息。 (这个消息是在 6.7.0 版本添加的。) in /data/user/htdocs/wp-includes/functions.php on line 6114

Warning: Cannot modify header information - headers already sent by (output started at /data/user/htdocs/wp-includes/functions.php:6114) in /data/user/htdocs/wp-includes/rest-api/class-wp-rest-server.php on line 1893

Warning: Cannot modify header information - headers already sent by (output started at /data/user/htdocs/wp-includes/functions.php:6114) in /data/user/htdocs/wp-includes/rest-api/class-wp-rest-server.php on line 1893

Warning: Cannot modify header information - headers already sent by (output started at /data/user/htdocs/wp-includes/functions.php:6114) in /data/user/htdocs/wp-includes/rest-api/class-wp-rest-server.php on line 1893

Warning: Cannot modify header information - headers already sent by (output started at /data/user/htdocs/wp-includes/functions.php:6114) in /data/user/htdocs/wp-includes/rest-api/class-wp-rest-server.php on line 1893

Warning: Cannot modify header information - headers already sent by (output started at /data/user/htdocs/wp-includes/functions.php:6114) in /data/user/htdocs/wp-includes/rest-api/class-wp-rest-server.php on line 1893

Warning: Cannot modify header information - headers already sent by (output started at /data/user/htdocs/wp-includes/functions.php:6114) in /data/user/htdocs/wp-includes/rest-api/class-wp-rest-server.php on line 1893

Warning: Cannot modify header information - headers already sent by (output started at /data/user/htdocs/wp-includes/functions.php:6114) in /data/user/htdocs/wp-includes/rest-api/class-wp-rest-server.php on line 1893

Warning: Cannot modify header information - headers already sent by (output started at /data/user/htdocs/wp-includes/functions.php:6114) in /data/user/htdocs/wp-includes/rest-api/class-wp-rest-server.php on line 1893
{"id":35733,"date":"2024-11-01T00:14:51","date_gmt":"2024-10-31T16:14:51","guid":{"rendered":"https:\/\/linguaresources.com\/?p=35733"},"modified":"2024-11-01T00:14:51","modified_gmt":"2024-10-31T16:14:51","slug":"%e4%ba%ba%e5%b7%a5%e6%99%ba%e8%83%bd%e6%98%af%e5%90%a6%e5%bd%bb%e5%ba%95%e6%94%b9%e5%8f%98%e4%ba%86%e8%af%ad%e8%a8%80%e4%b8%93%e4%b8%9a%e4%ba%ba%e5%91%98%e7%9a%84%e6%97%a5%e5%b8%b8","status":"publish","type":"post","link":"https:\/\/linguaresources.com\/?p=35733","title":{"rendered":"\u4eba\u5de5\u667a\u80fd\u662f\u5426\u201c\u5f7b\u5e95\u6539\u53d8\u201d\u4e86\u8bed\u8a00\u4e13\u4e1a\u4eba\u5458\u7684\u65e5\u5e38\u5de5\u4f5c\uff1f"},"content":{"rendered":"
\n
\n
\n
\n
\n

\u4eba\u5de5\u667a\u80fd\u662f\u5426\u201c\u5f7b\u5e95\u6539\u53d8\u201d\u4e86\u8bed\u8a00\u4e13\u4e1a\u4eba\u5458\u7684\u65e5\u5e38\u5de5\u4f5c\uff1f<\/strong><\/h1>\n
\u539f\u521b<\/span>\u00a0\u94b1\u5f66\u4e30<\/span>\u00a0<\/a>\u56fd\u9645\u7ffb\u8bd1\u52a8\u6001<\/span><\/span><\/p>\n
<\/section>\n

 <\/p>\n

2024\u5e7410\u670831\u65e5 10:00<\/em>\u00a0<\/span>\u5929\u6d25<\/span><\/em><\/span><\/section>\n

\n
\n
\n

\n

Has AI \u2018Radically Changed\u2019 Day-to-Day Work of Language Professionals?<\/strong><\/p>\n

<\/section>\n<\/section>\n
\n
\"\"<\/section>\n<\/section>\n
\n

\uff08 \u56fe\u7247\u6765\u81eaSlator\u5b98\u7f51 \uff09<\/p>\n<\/section>\n

\n

Lilt CEO Spence Green\u2019s observation on SlatorPod that\u00a0localization has become one of the key use cases to show return on investment in AI<\/span><\/strong>\u00a0is something most people in the industry can agree with. And when some big names like Reddit not only make AI-enabled localization part of their growth strategy, but also make good on their intent, as they announced in September 2024, the skeptics ought to notice, too.<\/p>\n

Lilt\u9996\u5e2d\u6267\u884c\u5b98\u65af\u5f6d\u65af-\u683c\u6797\uff08Spence Green\uff09\u5728SlatorPod\u4e0a\u6307\u51fa\uff0c\u672c\u5730\u5316\u5df2\u6210\u4e3a\u4eba\u5de5\u667a\u80fd\u6295\u8d44\u56de\u62a5\u7684\u91cd\u8981\u6848\u4f8b\u4e4b\u4e00<\/strong><\/span>\uff0c\u5f97\u5230\u4e86\u4e1a\u5185\u5927\u591a\u6570\u4eba\u7684\u8d5e\u540c\u3002\u50cfReddit\u8fd9\u6837\u7684\u5927\u516c\u53f8\u4e0d\u4ec5\u5c06\u4eba\u5de5\u667a\u80fd\u672c\u5730\u5316\u4f5c\u4e3a\u5176\u53d1\u5c55\u6218\u7565\u7684\u4e00\u90e8\u5206\uff0c\u800c\u4e14\u6b63\u5982\u4ed6\u4eec\u57282024\u5e749\u6708\u5ba3\u5e03\u7684\u90a3\u6837\uff0c\u4ed6\u4eec\u5f88\u597d\u5730\u5b9e\u73b0\u4e86\u81ea\u5df1\u7684\u89c4\u5212\u3002\u6b64\u65f6\uff0c\u5e94\u5f53\u6709\u4e00\u4e9b\u503c\u5f97\u601d\u8003\u7684\u5730\u65b9\u3002<\/p>\n

\n

The technology<\/strong>\u00a0is certainly there for all who wish to open the door to automation of multiple localization tasks.<\/p>\n

\u5bf9\u4e8e\u6240\u6709\u5e0c\u671b\u5b9e\u73b0\u5404\u79cd\u4efb\u52a1\u81ea\u52a8\u5316\u7684\u672c\u5730\u5316\u4ece\u4e1a\u8005\u6765\u8bf4\uff0c\u6280\u672f<\/strong>\u65e0\u7591\u662f\u7ed5\u4e0d\u5f00\u7684\u4e00\u73af\u3002<\/p>\n

\n

Transformed content workflows and customization of target outputs via trained\/fine-tuned large language models\u00a0(LLMs)\u00a0<\/span><\/strong>are just two examples of what can now be done. But there is a lot more.<\/p>\n

\u76ee\u524d\u4ec5\u80fd\u505a\u5230\u7684\u4e24\u4e2a\u573a\u666f\u662f\uff0c\u901a\u8fc7\u8bad\u7ec3\/\u5fae\u8c03\u7684\u5927\u578b\u8bed\u8a00\u6a21\u578b\uff08LLMs\uff09\u8f6c\u53d8\u5185\u5bb9\u5de5\u4f5c\u6d41\u7a0b\u548c\u5b9a\u5236\u76ee\u6807\u4ea7\u51fa\u3002<\/span><\/strong>\u4f46\u662f\uff0c\u53ef\u4ee5\u505a\u7684\u8fd8\u6709\u5f88\u591a\u3002<\/p>\n<\/section>\n

\n
\n
\n
\n
\n

\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n

\n
\n
\n
\n

What\u00a0<\/span>retrieval-augmented generation (<\/span>RAG<\/span>)\u00a0and AI orchestration can help accomplish,<\/span><\/strong>\u00a0and the ability to process ultra-mega-massive volumes of content using AI,<\/strong>\u00a0are also great ways to boost that precious ROI\u2026 even automating quality assurance to different degrees based on the type of content.<\/p>\n

\u6bd4\u5982\uff0c\u501f\u52a9\u68c0\u7d22\u589e\u5f3a\u751f\u6210\uff08RAG\uff09\u6280\u672f\u548c\u4eba\u5de5\u667a\u80fd\u534f\u8c03\u5b9e\u73b0\u76ee\u6807<\/strong>\uff0c\u4ee5\u53ca\u5229\u7528\u4eba\u5de5\u667a\u80fd\u7684\u80fd\u529b\u5904\u7406\u8d85\u5927\u5185\u5bb9<\/strong>\uff0c\u4e5f\u80fd\u63d0\u9ad8\u5b9d\u8d35\u7684\u6295\u8d44\u56de\u62a5\u7387\uff0c\u751a\u81f3\u6839\u636e\u7c7b\u578b\u5728\u4e0d\u540c\u7a0b\u5ea6\u4e0a\u81ea\u52a8\u4fdd\u8bc1\u5185\u5bb9\u8d28\u91cf\u4e5f\u662f\u5176\u4e2d\u4e4b\u4e00\u3002<\/p>\n

\n

Still,\u00a0quality assurance<\/strong>\u00a0remains one of those subjects for experimentation and debate. For that and much more, it is humans who need to get their heads around retooling processes, roles, and the back office so that no new problems are unnecessarily created as AI is implemented.<\/p>\n

\u5c3d\u7ba1\u5982\u6b64\uff0c\u8d28\u91cf\u4fdd\u8bc1<\/strong>\u4ecd\u7136\u662f\u9700\u8981\u8bd5\u9a8c\u548c\u8ba8\u8bba\u7684\u4e3b\u9898\u4e4b\u4e00\u3002\u4e3a\u6b64\uff0c\u4eba\u4eec\u9700\u8981\u7ede\u5c3d\u8111\u6c41\uff0c\u5bf9\u6d41\u7a0b\u3001\u89d2\u8272\u548c\u540e\u53f0\u8fdb\u884c\u91cd\u65b0\u8c03\u6574\uff0c\u4ee5\u89c4\u907f\u5728\u4f7f\u7528\u4eba\u5de5\u667a\u80fd\u65f6\u4ea7\u751f\u4e0d\u5fc5\u8981\u7684\u65b0\u95ee\u9898\u3002<\/p>\n

\n

We asked readers if AI (LLMs included) has changed their day-to-day work in the past 24 months.\u00a0Over a third of respondents (37.5%) said that has not happened at all (!). A little less than a quarter (23.6%) are on the opposite end of the spectrum saying it has done so radically. The rest, two equal groups (19.4% each respectively), said it has somewhat changed it or just a bit.<\/span><\/p>\n

\u6211\u4eec\u5bf9\u8bfb\u8005\u8fdb\u884c\u4e86\u91c7\u8bbf\uff0c\u8be2\u95ee\u4eba\u5de5\u667a\u80fd\uff08\u5305\u62ec\u5927\u8bed\u8a00\u6a21\u578b\uff09\u5728\u8fc7\u53bb\u4e24\u5e74\u4e2d\u662f\u5426\u6539\u53d8\u4e86\u4ed6\u4eec\u7684\u65e5\u5e38\u5de5\u4f5c\u3002\u8d85\u8fc7\u4e09\u6210\u7684\u53d7\u8bbf\u8005\uff0837.5%\uff09\u8868\u793a\u5b8c\u5168\u6ca1\u6709\uff08\uff01\uff09\u3002\u7565\u4f4e\u4e8e\u56db\u5206\u4e4b\u4e00\uff0823.6%\uff09\u7684\u53d7\u8bbf\u8005\u5219\u6301\u76f8\u53cd\u610f\u89c1\uff0c\u8ba4\u4e3a\u6709\u7ffb\u5929\u8986\u5730\u7684\u53d8\u5316\u3002\u5176\u4f59\u4e24\u7ec4\uff08\u5404\u5360 19.4%\uff09\u8ba4\u4e3a\u6709\u4e00\u4e9b\u6539\u53d8\u6216\u4ec5\u6539\u53d8\u4e86\u4e00\u70b9\u3002<\/span><\/p>\n<\/section>\n

\n
\n
\n
\"\"<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n
\n
\n
\n
\n

\u2726<\/p>\n<\/section>\n<\/section>\n<\/section>\n

\n
\n
<\/section>\n<\/section>\n<\/section>\n
\n
\n

\u2022<\/p>\n<\/section>\n<\/section>\n

\n
\n
<\/section>\n<\/section>\n<\/section>\n
\n
\n
\n

\u2726<\/p>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n

\n

Benched or Still in The Game?<\/strong><\/p>\n

\u9000\u573a\u8fd8\u662f\u7ee7\u7eed\uff1f<\/strong><\/p>\n<\/section>\n

\n
\n
\n
\n
\n

\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n

\n
\n
\n
\n

\u201cBouleversement\u201d is a French word that perfectly describes the sort of situation some in the language industry are facing as it evolves toward increased AI automation:\u00a0beyond upset or disruption, more like an upheaval.<\/span><\/strong><\/p>\n

\u6cd5\u8bed\u5355\u8bcd\u201cBouleversement\u201d\u5b8c\u7f8e\u5730\u63cf\u8ff0\u4e86\u4e00\u4e9b\u8bed\u8a00\u884c\u4e1a\u5de5\u4f5c\u8005\u5728\u4eba\u5de5\u667a\u80fd\u81ea\u52a8\u5316\u7a0b\u5ea6\u4e0d\u65ad\u63d0\u9ad8\u7684\u8fc7\u7a0b\u4e2d\u6240\u9762\u4e34\u7684\u60c5\u51b5\uff1a\uff08\u4eba\u5de5\u667a\u80fd\u5e26\u6765\u7684\uff09\u65e2\u4e0d\u662f\u6df7\u4e71\u4e5f\u4e0d\u662f\u7834\u574f\uff0c\u66f4\u50cf\u662f\u4e00\u573a\u52a8\u8361\u3002<\/strong><\/p>\n

\n

Back in March 2024, readers could already feel upheaval and pressure increasing as they answered polls on bankruptcies, the relevance of language service provider offerings, and individual use of AI. Two quarters later, the upheaval appears to gain momentum.<\/p>\n

\u65e9\u57282024\u5e743\u6708\uff0c\u8bfb\u8005\u5728\u56de\u7b54\u6709\u5173\u7834\u4ea7\u3001\u8bed\u8a00\u670d\u52a1\u63d0\u4f9b\u5546\u4ea7\u54c1\u7684\u76f8\u5173\u6027\u4ee5\u53ca\u4e2a\u4eba\u4f7f\u7528\u4eba\u5de5\u667a\u80fd\u7684\u6295\u7968\u65f6\uff0c\u5c31\u5df2\u7ecf\u611f\u53d7\u5230\u4e86\u52a8\u8361\u548c\u538b\u529b\u6301\u7eed\u589e\u52a0\u3002\u4e24\u4e2a\u5b63\u5ea6\u540e\uff0c\u8fd9\u79cd\u52bf\u5934\u4f3c\u4e4e\u6709\u6240\u589e\u5f3a\u3002<\/p>\n

\n

The market will continue to change.\u00a0More translators will become AI training and QA experts, and more project managers will become a combination of AI process designers and sentries.\u00a0<\/span><\/strong>Regardless of role,\u00a0most in the industry are likely feeling the pressure, with generalist language service providers\u00a0(LSPs) and linguists facing tough choices.<\/p>\n

\u5e02\u573a\u4f9d\u65e7\u6301\u7eed\u53d8\u5316\u3002\u8d8a\u6765\u8d8a\u591a\u7684\u8bd1\u5458\u5c06\u6210\u4e3a\u4eba\u5de5\u667a\u80fd\u8bad\u7ec3\u548c\u8d28\u91cf\u4e13\u5bb6\uff0c\u8d8a\u6765\u8d8a\u591a\u7684\u9879\u76ee\u7ecf\u7406\u4e5f\u5c06\u6210\u4e3a\u4eba\u5de5\u667a\u80fd\u6d41\u7a0b\u8bbe\u8ba1\u548c\u76d1\u6d4b\u4e13\u5bb6\uff08\u540c\u65f6\u627f\u62c5\u4eba\u5de5\u667a\u80fd\u6d41\u7a0b\u8bbe\u8ba1\u548c\u76d1\u6d4b\u7684\u804c\u8d23\uff09\u3002<\/strong><\/span>\u4f46\u65e0\u8bba\u89d2\u8272\u5982\u4f55\uff0c\u5927\u591a\u6570\u4e1a\u5185\u4eba\u58eb\u53ef\u80fd\u90fd\u611f\u53d7\u5230\u4e86\u538b\u529b\uff0c\u5373\u901a\u7528\u8bed\u8a00\u670d\u52a1\u63d0\u4f9b\u5546\uff08LSP\uff09\u548c\u8bed\u8a00\u5b66\u5bb6\u9762\u4e34\u7740\u8270\u96be\u7684\u6289\u62e9\u3002<\/p>\n

\n

We asked readers how the talent situation is in this environment in their corner of the language industry,\u00a0and half (50.0%) responded that there is an oversupply, and the talent situation is super competitive.<\/span><\/p>\n

\u6211\u4eec\u5411\u8bfb\u8005\u8be2\u95ee\u4e86\u5728\u8fd9\u79cd\u73af\u5883\u4e0b\u4ed6\u4eec\u6240\u5728\u7684\u8bed\u8a00\u884c\u4e1a\u9886\u57df\u7684\u4eba\u624d\u4f9b\u9700\u72b6\u51b5\uff0c\u534a\u6570\uff0850.0%\uff09\u8bfb\u8005\u56de\u7b54\u8bf4\u4f9b\u8fc7\u4e8e\u6c42\uff0c\u4eba\u624d\u7ade\u4e89\u5f02\u5e38\u6fc0\u70c8\u3002<\/span><\/p>\n

\n

Interestingly,\u00a0a third of respondents actually face a talent shortage (30.0%). For the rest (20.0%), the talent situation is balanced.<\/span><\/p>\n

\u6709\u8da3\u7684\u662f\uff0c\u4e09\u5206\u4e4b\u4e00\u7684\u53d7\u8bbf\u8005\u5b9e\u9645\u4e0a\u9762\u4e34\u4eba\u624d\u77ed\u7f3a\u95ee\u9898\uff0830.0%\uff09\u3002\u5269\u4e0b\u7684\u8bfb\u8005\uff0820.0%\uff09\u5219\u8ba4\u4e3a\uff0c\u4eba\u624d\u4f9b\u9700\u662f\u5e73\u8861\u7684\u3002<\/span><\/p>\n<\/section>\n

\n
\n
\n
\"\"<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n
\n
\n
\n
\n

\u2726<\/p>\n<\/section>\n<\/section>\n<\/section>\n

\n
\n
<\/section>\n<\/section>\n<\/section>\n
\n
\n

\u2022<\/p>\n<\/section>\n<\/section>\n

\n
\n
<\/section>\n<\/section>\n<\/section>\n
\n
\n
\n

\u2726<\/p>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n

\n

Practical and Tactical AI Adoption<\/strong><\/p>\n

\u5b9e\u7528\u4e0e\u6218\u672f\u6027\u4eba\u5de5\u667a\u80fd\u5e94\u7528<\/strong><\/p>\n<\/section>\n

\n
\n
\n
\n
\n

\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n

\n
\n
\n
\n

At SlatorCon Silicon Valley in September 2024,\u00a0the growing level of confidence in generative AI and large language models\u00a0(LLMs) in localization at the enterprise became quite clear.<\/span><\/strong><\/p>\n

\u57282024\u5e749\u6708\u4e3e\u884c\u7684\u7845\u8c37SlatorCon\u4f1a\u8bae\u4e0a\uff0c\u4f01\u4e1a\u5728\u672c\u5730\u5316\u4e2d\u5e94\u7528\u751f\u6210\u5f0f\u4eba\u5de5\u667a\u80fd\u548c\u5927\u578b\u8bed\u8a00\u6a21\u578b\uff08LLM\uff09\u6240\u62b1\u6709\u7684\u4fe1\u5fc3\u6108\u52a0\u660e\u663e\u3002<\/span><\/strong><\/p>\n

\n

Slator research featured 20 practical applications of large language models (LLMs)\u00a0in translation and localization. And Hameed Afssari, Uber\u2019s Head of Globalization, commented later in a conference panel that Uber has \u201ctested or implemented 12 out of the 20 already.\u201d<\/p>\n

Slator\u7814\u7a76\u4e86\u5927\u578b\u8bed\u8a00\u6a21\u578b (LLM) \u5728\u7ffb\u8bd1\u548c\u672c\u5730\u5316\u65b9\u9762\u768420\u9879\u5b9e\u9645\u5e94\u7528\u3002Uber\u5168\u7403\u5316\u8d1f\u8d23\u4eba\u54c8\u7c73\u5fb7-\u963f\u592b\u8428\u91cc\uff08Hameed Afssari\uff09\u968f\u540e\u5728\u4f1a\u8bae\u5c0f\u7ec4\u8ba8\u8bba\u4e2d\u8bc4\u8bba\u8bf4\uff0cUber\u201c\u5df2\u7ecf\u6d4b\u8bd5\u6216\u5b9e\u65bd\u4e8620\u9879\u4e2d\u768412\u9879\u201d\u3002<\/p>\n

\n

It is not uncommon now to find an equal measure of scientific research on LLMs and language and language technology companies leveraging them for features and functionality on localization products and services, and\u00a0Uber<\/strong>\u00a0is but one example.<\/p>\n

\u73b0\u5728\uff0c\u6709\u5173\u8bed\u8a00\u548c\u5927\u8bed\u8a00\u6a21\u578b\u7684\u7b49\u91cf\u79d1\u5b66\u7814\u7a76\u4ee5\u53ca\u8bed\u8a00\u6280\u672f\u516c\u53f8\u5229\u7528\u5927\u8bed\u8a00\u6a21\u578b\u4e3a\u672c\u5730\u5316\u4ea7\u54c1\u548c\u670d\u52a1\u589e\u6dfb\u7279\u8272\u548c\u529f\u80fd\u7684\u60c5\u51b5\u5e76\u4e0d\u5c11\u89c1\uff0cUber<\/strong>\u5c31\u662f\u5176\u4e2d\u4e4b\u4e00\u3002<\/p>\n

\n

Small, medium, and large companies, as well as freelancers, and just about everyone with a job in the industry, have been exposed to LLMs in one way or another.<\/p>\n

\u65e0\u8bba\u662f\u5927\u4e2d\u5c0f\u578b\u516c\u53f8\uff0c\u8fd8\u662f\u81ea\u7531\u804c\u4e1a\u8005\uff0c\u51e0\u4e4e\u6240\u6709\u5728\u8be5\u884c\u4e1a\u5de5\u4f5c\u7684\u4eba\u90fd\u6216\u591a\u6216\u5c11\u5730\u63a5\u89e6\u8fc7\u5927\u8bed\u8a00\u6a21\u578b\u3002<\/p>\n

\n

We asked readers how they would describe their company\u2019s level of LLM adoption, and close to a quarter (24.5%) is in the awareness phase. Two groups of respondents (20.4% each) are either still in the discovery stage or actively using LLMs.<\/p>\n

\u6211\u4eec\u8bf7\u8bfb\u8005\u63cf\u8ff0\u5176\u516c\u53f8\u8fd0\u7528\u5927\u8bed\u8a00\u6a21\u578b\u7684\u7a0b\u5ea6\uff0c\u7ed3\u679c\u53d1\u73b0\u6709\u8fd1\u56db\u5206\u4e4b\u4e00\uff0824.5%\uff09\u7684\u516c\u53f8\u5904\u4e8e\u8ba4\u8bc6\u9636\u6bb5\u3002\u6709\u4e24\u7ec4\u53d7\u8bbf\u8005\uff08\u5404\u536020.4%\uff09\u8ba4\u4e3a\uff08\u516c\u53f8\uff09\u6216\u4ecd\u5904\u4e8e\u63a2\u7d22\u9636\u6bb5\uff0c\u6216\u6b63\u5728\u79ef\u6781\u4f7f\u7528\u5927\u8bed\u8a00\u6a21\u578b\u3002<\/p>\n

\n

The rest of the respondents said their level of adoption is inactive (16.3%), operational (10.2%) or systemic (8.2%).<\/p>\n

\u5176\u4f59\u7684\u53d7\u8bbf\u8005\u8868\u793a\uff0c\u4ed6\u4eec\u7684\u8fd0\u7528\u7a0b\u5ea6\u662f\u975e\u6d3b\u8dc3\uff08\u536016.3%\uff09\u3001\u4f7f\u7528\uff08\u536010.2%\uff09\u6216\u7cfb\u7edf\u6027\u4f7f\u7528\uff08\u53608.2%\uff09\u3002<\/p>\n<\/section>\n

\n
\n
\n
\"\"<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n
\n
\n
\n
\n

\u2726<\/p>\n<\/section>\n<\/section>\n<\/section>\n

\n
\n
<\/section>\n<\/section>\n<\/section>\n
\n
\n

\u2022<\/p>\n<\/section>\n<\/section>\n

\n
\n
<\/section>\n<\/section>\n<\/section>\n
\n
\n
\n

\u2726<\/p>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n

\n

Winding Down or Ramping Up?<\/strong><\/p>\n

\u6536\u5c3e\u8fd8\u662f\u52a0\u901f\uff1f<\/strong><\/p>\n<\/section>\n

\n
\n
\n
\n
\n

\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n

\n
\n
\n
\n

Something else that was discussed in the rooms and halls at SlatorCon Silicon Valley in September 2024 was\u00a0the featurization of AI translation<\/span><\/strong>\u00a0in many products (where translation did not exist before).<\/p>\n

\u4f1a\u8bae\u4e0a\uff0c\u4e0e\u4f1a\u8005\u8fd8\u8ba8\u8bba\u4e86\u4eba\u5de5\u667a\u80fd\u7ffb\u8bd1\u7684\u7279\u5f81<\/span><\/strong>\uff08\u4e4b\u524d\u672a\u66fe\u8ba8\u8bba\u8fc7\uff09\u3002<\/p>\n

\n

There are several cases.\u00a0Adobe\u00a0<\/strong>offering AI in beta mode dubbing and lip-syncing API and Asana revealing \u201cAI Teammates\u201d as a tool in the management platform to write, translate, update, and even answer questions, are two of them. Both are on the localization buyer side and what this means for the host of localization vendors that can be impacted by such internal featurization at large tech companies and elsewhere is speculative at the time this article is written.<\/p>\n

\u4f17\u591a\u6848\u4f8b\u4e2d\u6709\u4e24\u9879\u662f\uff0cAdobe<\/strong>\u5728\u6d4b\u8bd5\u6a21\u5f0f\u4e2d\u63d0\u4f9b\u4eba\u5de5\u667a\u80fd\u914d\u97f3\u548c\u5507\u8bedAPI\uff0cAsana\u5728\u7ba1\u7406\u5e73\u53f0\u4e2d\u63a8\u51fa \u201c\u4eba\u5de5\u667a\u80fd\u4f19\u4f34\u201d\u5de5\u5177\uff0c\u7528\u4e8e\u64b0\u5199\u3001\u7ffb\u8bd1\u3001\u66f4\u65b0\u751a\u81f3\u56de\u7b54\u95ee\u9898\u3002\u8fd9\u4e24\u5bb6\u516c\u53f8\u90fd\u662f\u672c\u5730\u5316\u670d\u52a1\u7684\u4e70\u65b9\u3002\u672c\u6587\u5bf9\u5927\u578b\u79d1\u6280\u516c\u53f8\u548c\u5176\u4ed6\u516c\u53f8\u7684\u8fd9\u79cd\u5c06\u672c\u5730\u5316\u5185\u90e8\u5316\u53ef\u80fd\u5bf9\u5927\u91cf\u672c\u5730\u5316\u4f9b\u5e94\u5546\u4ea7\u751f\u7684\u5f71\u54cd\u5c1a\u65e0\u5b9a\u8bba\u3002<\/span><\/p>\n

\n

Whatever the level of speculation and uncertainty, with\u00a0<\/span>ChatGPT<\/span>\u00a0now an old mate at almost three years old, surely language access businesses have a different outlook for Q4 2024 than they did a year ago.<\/span><\/p>\n

\u65e0\u8bba\u731c\u6d4b\u548c\u4e0d\u786e\u5b9a\u6027\u6709\u591a\u5927\uff0c\u968f\u7740ChatGPT\u8fd1\u4e09\u5e74\u7684\u53d1\u5c55\uff0c\u8bed\u8a00\u63a5\u5165\u4f01\u4e1a\u5bf92024\u5e74\u7b2c\u56db\u5b63\u5ea6\u7684\u5c55\u671b\u80af\u5b9a\u4e0e\u4e00\u5e74\u524d\u6709\u6240\u4e0d\u540c\u3002<\/p>\n

\n

We asked readers what their business outlook is for the rest of 2024, and\u00a0over a third (34.6%) said it is positive. For a little over a quarter (26.9%) of respondents, things are looking slightly negative. For one in every six respondents (17.3%), the horizon is neutral. For the rest, the outlook is either very negative (13.5%) or very positive (7.7%).<\/span><\/p>\n

\u6211\u4eec\u8be2\u95ee\u4e86\u8bfb\u8005\u5bf92024\u5e74\u4f59\u4e0b\u65f6\u95f4\u7684\u4e1a\u52a1\u5c55\u671b\uff0c\u8d85\u8fc7\u4e09\u6210\uff0834.6%\uff09\u8868\u793a\u79ef\u6781\u4e50\u89c2\u3002\u4e24\u6210\u591a\uff0826.9%\uff09\u8ba4\u4e3a\u60c5\u51b5\u7565\u663e\u6d88\u6781\u3002\u6bcf\u516d\u4e2a\u53d7\u8bbf\u8005\u4e2d\u5c31\u6709\u4e00\u4eba\uff0817.3%\uff09\u5bf9\u524d\u666f\u6301\u4e2d\u7acb\u6001\u5ea6\u3002\u5176\u4f59\u53d7\u8bbf\u8005\u4e2d\uff0c\u8981\u4e48\u975e\u5e38\u6d88\u6781\uff0813.5%\uff09\uff0c\u8981\u4e48\u975e\u5e38\u79ef\u6781\uff087.7%\uff09\u3002<\/span><\/p>\n<\/section>\n

\n
\n
\n
\"\"<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n
\n
\n
\n
\n
\n

\u7279\u522b\u8bf4\u660e\uff1a\u672c\u6587\u5185\u5bb9\u9009\u81ea<\/span>Slator<\/span>\u5b98\u7f51\uff0c\u4ec5\u4f9b\u5b66\u4e60\u4ea4\u6d41\u4f7f\u7528\uff0c<\/span>\u5982\u6709\u4fb5\u6743\u8bf7\u540e\u53f0\u8054\u7cfb\u5c0f\u7f16\u5220\u9664<\/span>\u3002<\/span><\/p>\n<\/section>\n<\/blockquote>\n

\u6dfb\u52a0\u52a9\u6559<\/span><\/p>\n

\n
\"\"<\/section>\n<\/section>\n
\u5373\u53ef\u8fdb\u5165\u672c\u53f7\u7c89\u4e1d\u7fa4<\/section>\n
\u83b7\u53d6\u6700\u65b0\u8d44\u8baf\uff5e<\/section>\n

\n

– END –<\/span><\/strong><\/span><\/p>\n

\n<\/section>\n<\/section>\n<\/section>\n

\u6458\u8bd1\u7f16\u8f91<\/span><\/span>\uff1a<\/span>\u94b1\u5f66\u4e30<\/span><\/p>\n

\"\u56fe\u7247\"<\/p>\n

\n
\u63a8\u6587\u7f16\u8f91\uff1a\u5d14\u5149\u7440<\/span><\/section>\n

\"\u56fe\u7247\"<\/p>\n

<\/section>\n

\u6307\u5bfc\u8001\u5e08\uff1a\u5468\u539f<\/span><\/p>\n

\"\u56fe\u7247\"<\/p>\n

\n

\u9879\u76ee\u7edf\u7b79\uff1a\u6b66\u5a07\u9633<\/span><\/p>\n

\"\u56fe\u7247\"<\/p>\n

\n

\n
\n
\n
\n
\n
<\/section>\n
\n

\n<\/section>\n

\n

\u25b6 \u56fd\u9645\u7ffb\u8bd1\u52a8\u6001<\/strong><\/p>\n

| \u7ffb\u8bd1\u516c\u53f8\u7bc7 | TransPerfect\u7b80\u4ecb<\/span><\/a><\/p>\n

| \u7ffb\u8bd1\u516c\u53f8\u7bc7 | \u5168\u7403\u7b2c2\u540d RWS\u5982\u6587\u601d<\/a><\/p>\n

| \u7ffb\u8bd1\u516c\u53f8\u7bc7 | \u201c\u6536\u8d2d\u72c2\u9b54\u201dKeywords Studios<\/a><\/p>\n

\n| \u54a8\u8be2\u673a\u6784\u7bc7 | Nimdzi Insights\u7b80\u4ecb<\/a><\/p>\n

| \u54a8\u8be2\u673a\u6784\u7bc7 | Slator \u7b80\u4ecb<\/a><\/p>\n

| \u54a8\u8be2\u673a\u6784\u7bc7 | CSA Research \u7b80\u4ecb<\/a><\/p>\n

| \u884c\u4e1a\u673a\u6784\u7bc7 | \u56fd\u9645\u7ffb\u8bd1\u5bb6\u8054\u76dfFIT<\/a><\/p>\n

| \u884c\u4e1a\u673a\u6784\u7bc7 | \u7f8e\u56fd\u7ffb\u8bd1\u534f\u4f1aATA<\/a><\/p>\n

| \u884c\u4e1a\u673a\u6784\u7bc7 | \u52a0\u62ff\u5927\u8054\u90a6\u7ffb\u8bd1\u5c40 Canada’s Translation Bureau<\/a><\/p>\n

| \u7ffb\u8bd1\u9662\u6821\u7bc7 | \u660e\u5fb7\u5927\u5b66\u8499\u7279\u96f7\u56fd\u9645\u7814\u7a76\u5b66\u9662\uff08MIIS\uff09<\/a><\/p>\n

| \u7ffb\u8bd1\u9662\u6821\u7bc7 | \u683c\u62c9\u65af\u54e5\u5927\u5b66<\/a><\/p>\n

| \u7ffb\u8bd1\u9662\u6821\u7bc7 | \u57c3\u585e\u514b\u65af\u5927\u5b66<\/a><\/p>\n

| \u70ed\u70b9\u8ffd\u8e2a | ChatGPT\u7684\u4f26\u7406\u95ee\u9898\uff08\u4e0a\uff09<\/a><\/p>\n

|\u00a0\u70ed\u70b9\u8ffd\u8e2a | ChatGPT\u7684\u4f26\u7406\u95ee\u9898\uff08\u4e0b\uff09<\/a><\/p>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n

\n

<\/section>\n

\u6b22\u8fce\u5927\u5bb6\u70b9\u8d5e\u5173\u6ce8\uff0c\u652f\u6301\u6211\u4eec~<\/span><\/strong><\/span><\/span><\/p>\n

\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n

\n
\n
\n
\u56fd\u9645\u7ffb\u8bd1\u52a8\u6001\u8ddf\u8e2a<\/span>106<\/span><\/span><\/section>\n<\/section>\n<\/section>\n
\n
\n
\u56fd\u9645\u7ffb\u8bd1\u52a8\u6001\u8ddf\u8e2a \u00b7 \u76ee\u5f55<\/span><\/section>\n

 <\/p>\n

\n
\n
\n
\n
<\/section>\n<\/section>\n<\/section>\n
\n
<\/section>\n<\/section>\n
<\/section>\n<\/section>\n<\/section>\n

 <\/p>\n<\/section>\n

\u4e0a\u4e00\u7bc7<\/strong><\/span>\u5168\u7403\u9996\u521b\uff01WICHPDF\u643a\u624bSparticle\u63a8\u51faFelo AI \u52a9\u529b\u6587\u7269\u4fdd\u62a4<\/strong><\/span><\/span><\/span><\/span><\/section>\n<\/section>\n
\n
\n
\n
<\/a>\u9605\u8bfb\u539f\u6587<\/p>\n
\u9605\u8bfb<\/span>\u00a0184<\/span><\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n
\n
\n
\n
\n
\n