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20172023
most citedAutomatic Speech Recognition with Very Large Conversational Finnish and Estonian Vocabularies

33 citations · 50 across the 10 of their papers we have counts for

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Showing 2020Show all

5 papers · 1 filter

cs.CL2020

FinChat: Corpus and evaluation setup for Finnish chat conversations on everyday topics

Katri Leino, Juho Leinonen, Mittul Singh +2

Creating open-domain chatbots requires large amounts of conversational data and related benchmark tasks to evaluate them. Standardized evaluation tasks are crucial for creating aut…

cs.CL2020

Effects of Language Relatedness for Cross-lingual Transfer Learning in Character-Based Language Models

Mittul Singh, Peter Smit, Sami Virpioja +1

Character-based Neural Network Language Models (NNLM) have the advantage of smaller vocabulary and thus faster training times in comparison to NNLMs based on multi-character units.…

cs.CL2020★ 5 cited

Subword RNNLM Approximations for Out-Of-Vocabulary Keyword Search

Mittul Singh, Sami Virpioja, Peter Smit +1

In spoken Keyword Search, the query may contain out-of-vocabulary (OOV) words not observed when training the speech recognition system. Using subword language models (LMs) in the f…

cs.CL2020

Transfer learning and subword sampling for asymmetric-resource one-to-many neural translation

Stig-Arne Grönroos, Sami Virpioja, Mikko Kurimo

There are several approaches for improving neural machine translation for low-resource languages: Monolingual data can be exploited via pretraining or data augmentation; Parallel c…

cs.CL2020★ 3 cited

Morfessor EM+Prune: Improved Subword Segmentation with Expectation Maximization and Pruning

Stig-Arne Grönroos, Sami Virpioja, Mikko Kurimo

Data-driven segmentation of words into subword units has been used in various natural language processing applications such as automatic speech recognition and statistical machine…