Google Cloud Speech-to-Text vs. Phrase Localization Platform

Real-time meeting notes for the smaller group audience. Strong language coverage of over 125+ languages. Handles mobile phone recordings and environmental noise effectively. Fast transcription turnaround also supports phrases, which improves industry-specific terminology. Generating QA/compliance audit logs. Also builds the sentences with accurate punctuation and sentence boundaries. It has vast global support centers whose primary focus in resolving customer issues and help multinational engineering in building great products

Incentivized

The system is well suited if you also run Trados or any second system. As the system is very expensive and the use of MTUs is rather complicated to understand the best thing is to run most larger projects through Trados or any other CAT tool and then to import it. Large projects are expensive in Phrase Localization Platform so I would recommend it if you have small projects and have enough capacity to carefully check the terminology as the data pulled from the term base is inconsistent. The same applies to the find replace feature which can work great.

• So, first of all it gives the answer or translates in real time which is awesome.
• It has speaker diarization, which detects who spoke each segment. This is a great feature because it can track the number of people as well.
• It has an automatic punctuation system that detects each punctuation mark, such as a dot and a comma, and places it in the text.
• Lastly, it offers a variety of language translations, providing a global platform for interaction with people from different countries.

Incentivized

• The QA tool it provides is practical and always handy.
• Instant QA feature can save time at the end of the process.
• The possibility to decline a job directly from the platform instead of having to contact the client by email.

• Integration outside of the google eco system is challenging here.
• Google Cloud Speech-to-Text works only with active internet connection if the internet bandwidth is low it effect the transcription process and can lead to data inaccuracy.
• In terms of the pricing also this is at higher range which all the companies cannot afford like small scale organisation if they would like to use the tool they would look over the price to make the decision. Reducing the price can increase the product usage more

Incentivized

• In the case of EN to JA translation, we enter text and then convert it to get the correct final text (word or phrase) which uses correct Chinese character(s), as there are often multiple Chinese characters with the same reading but different meanings. When those conversion options are displayed, it is usually possible to change our selection among them by hitting the Tab key, but in Memsource, hitting the Tab key makes us leave the text conversion and move to the source segment, so we must make sure to use arrow keys to choose the right conversion option when using Memsource.
• When there are tag elements used in the source text, the tags must exist in the target text of course, but the tag order also must be the same. The tags cannot be moved around in the segment, which causes problems in the case of the Japanese language, because the word order differs between EN and JA.
• In the Japanese language, Italics are basically not used, so there must be no texts between the tags which specify Italic font. But then the segment cannot be confirmed and the job status cannot be changed to "Complete".

I use and manage an Academic edition (approx. 15 students) and the corporate license (10 users). In both cases, the features are easy to find, set and use. My students and my translators understand the dynamics of the platform easily and get used to them quickly.

The reasoning behind my 10 is that the UI is very intuitive; I didn't require any formal training to use it. Google's speech-to-text is not just a conversion tool; it helps automate mundane tasks, saves time, and has an almost human-like understanding.

Incentivized

It is designed to be a lean system, but that means that things are clustered in weird groups and a lot of trial and error is involved getting the settings right. If something goes wrong first level support is very quick and has very fast answers which are quite typical of first level support and essentially equate to asking you if you have switched it off and on yet. Anything more involved is challenging for support to address.

We rarely use support, but most questions were answered in a timely fashion, although we didn't exactly find them satisfactory. That's mostly the fault of the software and not the Support team because we asked for things that Memsource couldn't do.

Incentivized

Google Cloud Speech-to-Text outperformed its competitors significantly in terms of accuracy, surpassing any other product available. Additionally, its support for multiple languages was unrivaled in the market. Moreover, for clients with robust bandwidth, Google Cloud Speech-to-Text offered real-time transcription capabilities, enabling users to transcribe live audio streams with minimal delay.

Incentivized

Memsource has a very good user interface that people can quickly learn and start using. Also, its analysis features are top class which helps me provide a detailed estimate to my client based on the file particulars. It has a QA feature that helps me do a very high-quality check before I send out my translation to the client.

• It reduced our budget for assistants who transcribed files manually
• It speeds up the process, because we can have a transcriptions straight after the interviews
• It increased accuracy, because AI makes the transcriptions for every second, and you can find the words which were said at specific time.

Incentivized

• Positive impact as I have been able to recruit and reach more and new clients.
• As it is easy to use, I provide high quality translations for my clients.
• Using TM and Search ensures consistency and my clients appreciate my good work with the help of Memsource.