Translation Memory & Terminology Management

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Every step in term processing during the preparation of glossaries or updating of termbases is important, but probably the one that will save you the most time is term validation. It includes a series of steps such as evaluating the quality of the resources available e. It involves choosing between several term candidates to pick a preferred term or even creating your own terms neologisms.

In some cases, validation also includes writing new or updated definitions. Who does term validation? Now we need to talk about how we go about justifying them.

First, you need to present your business 24 terminology See also my section on the Terminology Business Case for more info. It has been 24 terminology since the summer of and you can search the public version in 23 languages and 24 terminology main subject 24 terminology, including politics, law, 24 terminology, trade, finance, education, science, business, 24 terminology, agriculture, energy, industry and geography, among 24 terminology.

Most trainers explain the PM process using the cake analogy, and when it comes to goals it is useful to see it from that perspective, too. I am happy to report on the results of my recent survey on terminology awareness which included participants from groups of translators in Facebook, Linkedin and Twitter.

Although it was a very simple, seven-question survey, I think you will agree on the fact that Terminology has great potential as a profession and field of 24 terminology. UNdata — a data access system to UN databases.

You can search and download statistical resources from a wide variety of subject areas from education to tourism, from health to energy, from population to information technology, etc. You can do advanced searches by country, source and year. One of the recent updates December 2 was the World Development Indicators database. You can follow them in Twitter undata. These are three long words that are easy to understand Take a look at my illustration below. They are term formation methods.

The new terms that we create 24 terminology means of these methods would be ideal candidates to include in our termbase. Also, being aware of this process will help us identify good candidates when we are extracting terms from a corpus.

In a previous post I talked 24 terminology the importance of managing stakeholders in terminology projects. Recapping from that 24 terminology post, projects are divided in process groupslike steps you use in recipes: Who is Who in Terminology: After months and months of writing and researching on terminology and stumbling upon name after name of terminologists who have made 24 terminology contributions to the field of terminology, I was curious to learn about them and thought it would be a good idea to start writing short biographies, not only to share the information with you but also to honor them and their work.

Do you know 24 terminology they are and what their contribution was? And then some more like Helmut Felber and Ingrid Meyer. So, hopefully, as time permits, I will also be talking about the most contemporary ones. The information provided will depend on what is available on the Internet. If you know some important detail about them as I publish their bios, please add a comment and enlighten us. Needless to say, I will start posting about our other exciting regular topics. Just wait and see!

May your personal and professional dreams come true! 24 terminology you for a great as a loyal follower of InMyOwnTerms. Many great things to come! I am a terminology lover on a learning journey and sharing mission. This blog offers a one-stop window for Terminology as a discipline and terminology as practice. Thanks for following and share the Terminology love! 24 terminology My Own Terms. The Ins and 24 terminology of Term Validation Every step in term processing during the preparation of glossaries or updating of termbases is important, but probably the one that will save you the most time is term validation.

What is term validation? Read More Share this: Posted by imot Leave a Comment. Posted by imot 1 Comment. Writing Your Terminology Project Goals Most trainers explain the PM process using the cake analogy, and when it comes to goals it is useful to see it from 24 terminology perspective, too.

Terminology Awareness Survey Results I am happy to report on the results of my recent survey on terminology awareness which included participants from groups of translators in Facebook, Linkedin and Twitter.

De- Re- Terminologization Terminologization. New Year, New Section in my blog: Who is Who in Terminology? Subscribe to my blog inmyownterms yahoo. My Cloud acronyms blogs books certification concepts copyright corpora crowdsourcing elevatorpitch fees guestpost history IATE infographics interview IoT naming neology ontology Orgs Padlet PM reading resources smarterms socialmedia standards termbase termbases TermCoord terminologist terminology terminotics TermTime theory TMstrategy toolbox topposts trainig training Tskills twitter validation videos Whoiswho.

Sign up for ECQA courses. Sign up for UPF courses. Based on a 24 terminology at http: Map of Terminology Lovers. Sorry, your blog cannot share posts by email.

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A Field Transform tells the reporter how to process a field for output. Different data types have different transform options. To display a field exactly as it appears in the database use the Raw Data transform, available for all data types.

Count and Count Distinct. These transforms apply to the id data type and are used to count database records e. Use Count to tally the total number of records. Use Count Distinct to count the number of unique records, removing duplicates. To demonstrate the difference between Count and Count Distinct , consider an example where you want to know the number of active patrons in a given month, where active means they borrowed at least one item. Each circulation is linked to a Patron ID, a number identifying the patron who borrowed the item.

If we use the Count Distinct transform for Patron IDs we will know the number of unique patrons who circulated at least one book 2 patrons in the table below. If instead, we use Count , we will know how many books were circulated, since every circulation is linked to a patron ID and duplicate values are also counted. To identify the number of active patrons in this example the Count Distinct transform should be used. Note that each transform has either an Aggregate or Non-Aggregate output type.

Selecting a Non-Aggregate output type will return one row of output in your report for each row in the database.

Selecting an Aggregate output type will group together several rows of the database and return just one row of output with, say, the average value or the total count for that group. Other common aggregate types include minimum, maximum, and sum. When used as filters, non-aggregate and aggregate types correspond to Base and Aggregate filters respectively. To see the difference between a base filter and an aggregate filter, imagine that you are creating a report to count the number of circulations in January.

This would require a base filter to specify the month of interest because the month is a non-aggregate output type. Now imagine that you wish to list all items with more than 25 holds. This would require an aggregate filter on the number of holds per item because you must use an aggregate output type to count the holds.

Data Type Description Notes id Unique number assigned by the database to identify a record A number that is a meaningful reference for the database but not of much use to a human user. Use in displayed fields when counting records or in filters. Raw Data includes second and timezone information, usually more than is required for a report. You will usually want to drill further down the tree in the Sources pane and select fields from the linked table.

However, in some instances you might want to use a link field. For example, to count the number of patrons who borrowed items you could do a count on the Patron link data. Unique number assigned by the database to identify a record. A number that is a meaningful reference for the database but not of much use to a human user. A number representing a library, library system, or federation. Link outputs a number that is a meaningful reference for the database but not of much use to a human user.