20 citations · 30 across the 6 of their papers we have counts for
8 papers
How Masterly Are People at Playing with Their Vocabulary? Analysis of the Wordle Game for Latvian
Matīss Rikters, Sanita Reinsone
In this paper, we describe adaptation of a simple word guessing game that occupied the hearts and minds of people around the world. There are versions for all three Baltic countrie…
Fragmented and Valuable: Following Sentiment Changes in Food Tweets
Maija Kāle, Matīss Rikters
We analysed sentiment and frequencies related to smell, taste and temperature expressed by food tweets in the Latvian language. To get a better understanding of the role of smell,…
Document-aligned Japanese-English Conversation Parallel Corpus
Matīss Rikters, Ryokan Ri, Tong Li +1
Sentence-level (SL) machine translation (MT) has reached acceptable quality for many high-resourced languages, but not document-level (DL) MT, which is difficult to 1) train with l…
What Can We Learn From Almost a Decade of Food Tweets
Uga Sproģis, Matīss Rikters
We present the Latvian Twitter Eater Corpus - a set of tweets in the narrow domain related to food, drinks, eating and drinking. The corpus has been collected over time-span of ove…
Designing the Business Conversation Corpus
Matīss Rikters, Ryokan Ri, Tong Li +1
While the progress of machine translation of written text has come far in the past several years thanks to the increasing availability of parallel corpora and corpora-based trainin…
Impact of Corpora Quality on Neural Machine Translation
Matīss Rikters
Large parallel corpora that are automatically obtained from the web, documents or elsewhere often exhibit many corrupted parts that are bound to negatively affect the quality of th…