en:eebo:collocations - Příručka ČNK

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======== Lesson 5: Collocations ========
In this section we will have a look at [[en:pojmy:kolokace|collocations]], i.e. meaningful, fixed, syntagmatic sequences of two (or more) words in the immediate proximity. 
In any language, every word has a tendency to cooccur with certain words more often than with the others. John R. Firth, an English linguist, famously said that "You shall know a word by the company it keeps" (Firth, J. R. 1957:11). What he meant was that the context in which the words occur can tell us more about them and the words themselves.
If we think of the word //tea// the following phrases will come to mind: black tea, strong tea, cup of tea or even coffee. These are all collocations of the word //tea//. Using the corpus, we can statistically prove that some words collocate with the word //tea// while the others do not.

======= Finding collocations of a word =======
Thanks to the corpus linguistics, anyone can easily identify which strings of words are established collocations and which are not. A collocation consists of a key word (a node which usually is also [[en:pojmy:kwic|KWIC]] and a contextual word (collocate)). 
Let's try finding collocations of a word such as //bread//. We select EEBO as the corpus we wish to work with and then use basic query type. After clicking on the search button, concordance lines will appear. //Bread//, a key word, is always located in the middle of the line (higlighted in pink). We then click on the **collocations** button located in the upper menu and select **custom** from the dropdown menu.

[{{eebo-9.png?500|Form for collocation candidates}}]

First of all, we need to decide in which range we will be searching for collocations. The default range **from -3 to 3** from KWIC is suitable for the majority of searches. If we wish to find out what kind of adjectives collocate with the word //bread// we need to set the range **from -1 to -1**. What this setting does is that it restricts the span to the first position to the left from the key word. Therefore we should be able to determine which adjectives frequently modifed the word //bread// in the period that EEBO covers.
 
Under the heading **show functions** we can choose which measures of association we wish to be calculated for bread. [[en:pojmy:asociacni_miry|Association measures]] are used to identify which collocations are statistically significant and therefore are not only coincidental. Each of the measures is sensitive to different kinds of phrases and each might not work in some cases. It is therefore recommended to combine the measures and compare their output. We can select the following measures:**T-score, mutual information (MI) and log likelihood** and select according to which association measure we wish to sort the results. The order of collocation candidates might vary depending on which association measure is selected. Afterwards we click on the **make candidate list** button.

If you sorted the list according to the log-likelihood, the following words should be in the first five positions in the list:
  - of
  - the
  - unleavened
  - daily
  - , (comma)

<WRAP round tip 40%>
Don't worry about the grammatical words and punctuation marks in the first positions. Function words such as prepositions and articles are the most common words in any language and therefore they frequently co-occur with //bread//. As the EEBO corpus is not lemmatized, it is not possible to restrict the search to adjectives and nouns only.
</WRAP>

In the list of the first 50 collocation candidates, there are other words that frequently modify the word //bread// such as //this, childrens, grated, common, Sacramental, leavened, consecrated, white or browne//. selection of collocates, the word is used in two different senses: as a type of food and altar bread used during the religious ceremonies. 
<WRAP round help 40%>
Let's try searching for collocates of the following words in the EEBO corpus:
  * tea 
  * war
You can also alter the range within which you wish to search for the collocates.
</WRAP>

======= Association measures =======

Association measures are used to identify a collocation.  Each of the measures is sensitive to different kinds of phrases and each might not work in some cases. We will have a look at how  much can the order of collocate candidates vary depending on which  association measure is selected.

^ Collocate ^  Frequency  ^  MI  ^  Log likelihood  ^ T-score ^
^ 1st collocate| the |  Vnleauened  | of | of |
^ 2nd collocate| of | vnleavened | the | the |
^ 3rd collocate| this | Unleavened | unleavened | this |
^ 4th collocate| , | unleavened | daily | - |
^ 5th collocate| that | Vnleavened | , | daily |

How can we interpret these results?
  * **MI** prefers the words with lower frequency and therefore the results may be biased. In our example we can see that the first five positions are filled with spelling variants of the same word. Although the results are not absolutely satisfactory, they provide a proof of an established collocation such as unleavened bread.
  * **T-score** is based on the co-occurrence frequency and therefore the results of T-score and frequency almost coincide. This association measure prefers words with a high frequency and therefore there are mostly grammatical words and punctuation marks in the first positions. Established collocations may be found in the lower positions of the list.


<WRAP round tip 40%>
  * Don't forget to always adjust the range in which you wish to search for collocates.
  * The negative numbers indicate the positions preceding the key word, while the positive ones refer to the right positions.
  * Minimum frequency in corpus: establishes minimum overall frequency of a unit in order to be included in the collocate list
  * Minimum frequency in given range: provided that we specified the context span for collocate search from -3 to 3, then the minimum frequency in given range optiom determines how frequently should an item co-occur with KWIC to be included in the collocate list
</WRAP>
Trace: • heaps • syn • verze7 • corpus_based • case-sensitive • corpus_driven • specific_query • syn2006pub • kwords • collocations