Extracting Parallel Sentences from Comparable Corpora with STACC Variants

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Filtering and Mining Parallel Data in a Joint Multilingual Space (2018, methodology): “This task adaption substantially improved the generic STACC approach (Azpeitia et al., 2018).”
Margin-based Parallel Corpus Mining with Multilingual Sentence Embeddings (2018, methodology): “STACC uses seed lexical translations induced from IBM alignments, which are combined with set expansion operations to score translation candidates through the Jaccard similarity coefﬁcient (Etchegoyhen and Azpeitia, 2016; Azpeitia et al., 2017, 2018).”
WikiMatrix: Mining 135M Parallel Sentences in 1620 Language Pairs from Wikipedia (2019, methodology): “The STACC method uses seed lexical translations induced from IBM alignments, which are combined with set expansion operations to score translation candidates through the Jaccard similarity coefficient (Etchegoyhen and Azpeitia, 2016; Azpeitia et al., 2017, 2018).”
CCMatrix: Mining Billions of High-Quality Parallel Sentences on the Web (2019, methodology): “The STACC method uses seed lexical translations induced from IBM alignments, which are combined with set expansion operations to score translation candidates through the Jaccard similarity coefﬁ-cient (Etchegoyhen and Azpeitia, 2016; Azpeitia et al., 2017, 2018).”
Parallel Sentence Mining by Constrained Decoding (2020, background): “Azpeitia et al. (2018) computes Jaccard similarity of lexical translation overlap.”