This study reports the implementation of ICT-based learning materials using Blendspace in phonology classes. The ICT-based learning material was developed in the academic year of 2016/2017. The study was conducted in two stages. The rst stage was the validation of the teaching material by two expert judges. The second stage was trying out of the teaching material in the classroom using classroom action research. The learning material developed has been validated by experts using a checklist as an instrument, which has been analysed using the Gregory formula. The expert judges showed that the content validity of the learning material is 90.9%, which means very valid. In order to test the effectiveness of the learning material, it has been implemented in phonology classes joined by the second-semester Diploma III students of the English Department of Universitas Pendidikan Ganesha, using classroom action research. Based on the teaching and learning process using the material, more than 70% of the students obtained scores between 76 and 100. Fewer than 30% of the students had scores below 75. Therefore, the learning material is considered effective for learning phonology.

AbstractCurrent research in bilingual children’s language development with one language dominant has shown that one linguistic system can affect the other. This is called Crosslinguistic Influence (CLI). This paper explores whether CLI is experienced by a bilingual child raised in two typologically distinct languages in terms of phonological development. It uses data from the study of a child simultaneously acquiring Indonesian and German between the ages of 12 months - 20 months, with Indonesian as the dominant language. The sound segments developed by the child showed universal tendencies, with the appearance of bilabials prior to alveolar sounds, followed by velar sounds. The sounds were produced mostly in the form of stops, nasals and glides. Three phonological processes were displayed by the child: substitution, assimilation and syllable structures. The front rounded vowel [ʏ], which exists in German but not in the Indonesian sound system, was systematically replaced by the palatal approximant [j]. This approximant exists in the Indonesian sound system but not in the German phonemic inventory. This provides evidence that, in terms of phonological development, the child experienced CLI, but only for certain sound transfers.

The contexts and circumstances of the occurrence of cross-linguistic influence in bilingual children’s language development are still a matter of debate. The present study argues that in the early development of a bilingual child exposed to two typologically distinct languages (Indonesian and German), the child developed two separate linguistic systems. The child, raised in Indonesia, was exposed to Indonesian by her Indonesian mother and to German by her German father. The study focuses on the early stages of verbal morphology and word order, from ages 1;3 to 2;2. The corpus took the form of conversational text or speech based on spontaneous interactions in natural settings. The data was collected using diary records, supplemented by weekly video recordings. In analysing the data, two software systems were used: ELAN and Toolbox. The speech was segmented based on utterances. All verbal morphology and word order was coded. The results show that verbal morphology in Indonesian and German was acquired by the child at different times, with the development of German verbs occurring later than Indonesian verb acquisition. In addition, there is evidence of interaction between the two developing systems. Cross-linguistic interference was identified when the child used the Indonesian vocatives-predicate combination in German utterances while, at the same time, the child also applied the German verb-final clause structure in Indonesian utterances when she should have produced German utterances. Thus, the results from this case study suggest that both language external and internal factors account for the occurrence of cross-linguistic influence.

This study aimed to determine phonological interference that occurs on BIPA learners from Europe in Bali. Oraland written data are used in this research that were obtained from learners' speeches and writings when learning Indonesian in the class. This research was guided by interference theory according to Weinreich (1953). Oral data were collected using proficient inversion techniques (SLC), skillful in-flight listening techniques (SBLC), recording techniques, and note taking. Writing data were collected by the test method. The data analyzed and presented in formal and informal forms. The results of data analysis showed that phonological interference that occurred in BIPA learners from Europe in Bali, namely in the form of vocal noise interference (occurred in vowels [a], [u], and [ə]), consonant sound interference (occurred in consonants [h] , [r], [g], [ŋ], [t], [g], and [ɲ]), interference in the form of sound addition (occurred in the sounds [ŋ] and [ɲ]), and interference in the form of sound removal ( occurred in consonants [r], vowel series [e] and [a], and consonants [h]). This interference occurred because of differences in vowel and consonant sounds in Indonesian and English. In addition, this interference was also caused by the different pronunciation of a vowel sound or consonant sound in both languages.

The task of a commentator is to provide comments related to the course of the match. In his speech, Indonesian commentators in the 2019 PMCO Fall Split Global Final tournament included natural speeches that contained pragmatic elements, namely expressive speech acts. In addition, in reviewing matches, commentators use a lot of special vocabulary as a characteristic of the E-sports branch to interpret the actions taken by the players during the match. This study aims to describe the form and function  E-sports commentators in the 2019 PMCO Fall Split Global Final tournament and describe the special vocabulary used by E-sports commentators in the 2019 PMCO Fall Split Global Final tournament. This type of research is descriptive-qualitative, using sociopragmatic studies. The data sources of this research are E-sports commentators' utterances which are expressive and contain special forms of vocabulary. Data collection techniques using listening and note-taking techniques. Data analysis using contextual analysis methods. The results of this study are the findings of expressive speech acts in the E-Sports commentator's speech which are divided into ten peech functions, namely: thanking, disgust, justifying, hoping, praising, apologizing, congratulating, complaining, regretting, and insinuating. In addition, there were 58 data orms of special vocabulary classified into 4 forms, namely, singular, affixation, abbreviation/shortening, and compound. The vocabulary data is divided into two categories of meaning, namely the denotative meaning of 32 data and the connotative meaning of (26) data.