Adding a link to Cuetara's thesis

README.md

@@ -59,7 +59,7 @@ task_ids: []
 
 The CIEMPIESS COMPLEMENTARY is a phonetically balanced corpus of isolated Spanish words spoken by people of Central Mexico. It was designed to solve one particular issue when training automatic speech recognition (ASR) systems in the Spanish of Central Mexico. This problem appears when someone collects some training data, but the system complains because it does not find enough instances of one or more particular phoneme.
 
-The CIEMPIESS COMPLEMENTARY Corpus was created with the voices of 10 male and 10 female volunteers reading isolated words. The words were chosen to assure users to get, at least, twenty instances of every single phoneme and allophone of the Mexican phonetic alphabet called [Mexbet](https://rcs.cic.ipn.mx/2014_83/RCS_83_2014.pdf#page=70). So, the CIEMPIESS COMPLEMENTARY is "COMPLEMENTARY" because it "complements" datasets when training ASR systems in the Spanish of Central Mexico.
+The CIEMPIESS COMPLEMENTARY Corpus was created with the voices of 10 male and 10 female volunteers reading isolated words. The words were chosen to assure users to get, at least, twenty instances of every single phoneme and allophone of the Mexican phonetic alphabet called [Mexbet](https://turing.iimas.unam.mx/~luis/DIME/publicaciones/tesis/Cuetara_Tesis_MLH-UNAM.pdf). So, the CIEMPIESS COMPLEMENTARY is "COMPLEMENTARY" because it "complements" datasets when training ASR systems in the Spanish of Central Mexico.
 
 On the other hand, Mexbet is a phonetic alphabet designed for the Spanish of Central Mexico. It was created in 2004 by the linguist [Javier Cuétara](http://ec.filos.unam.mx/mtro-javier-cuetara-priede) at [UNAM](https://www.unam.mx/) University to do experiments with another corpus in Mexican Spanish called [DIMEx100](http://turing.iimas.unam.mx/~luis/DIME/CORPUS-DIMEX.html), giving excellent results. For these reasons, Mexbet is the preferred alphabet for the all CIEMPIESS family. An updated set of the of the Mexbet rules adapted for the CIEMPIESS project is presented in [this paper](https://rcs.cic.ipn.mx/2014_83/RCS_83_2014.pdf#page=70).