title: ÐÑÐ²Ð¾Ð´ Ð³ÑÐ°Ð¼Ð¼Ð°ÑÐ¸ÐºÐ¸ CCG Ð´Ð»Ñ ÑÑÑÑÐºÐ¾Ð³Ð¾ ÑÐ·ÑÐºÐ° Ð½Ð° Ð¾ÑÐ½Ð¾Ð²Ðµ Ð½ÐµÑÐ°Ð·Ð¼ÐµÑÐµÐ½Ð½Ð¾Ð³Ð¾ ÐºÐ¾ÑÐ¿ÑÑÐ°
title: Ð²ÑÐ¿ÑÑÐºÐ½Ð°Ñ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð±Ð°ÐºÐ°Ð»Ð°Ð²ÑÐ°
titleType: Subtitle
title: Derivation of CCG grammar for Russian language based on the unmarked corpus
Creators: name: ÐÐ»ÐµÐºÑÐµÐµÐ²Ð°, ÐÐ°ÑÐ¸Ð½Ð°
Publisher: name: Ð¡Ð°Ð½ÐºÑ-ÐÐµÑÐµÑÐ±ÑÑÐ³ÑÐºÐ¸Ð¹ Ð¿Ð¾Ð»Ð¸ÑÐµÑÐ½Ð¸ÑÐµÑÐºÐ¸Ð¹ ÑÐ½Ð¸Ð²ÐµÑÑÐ¸ÑÐµÑ ÐÐµÑÑÐ° ÐÐµÐ»Ð¸ÐºÐ¾Ð³Ð¾
Year: 2021
Subjects: ÐºÐ°ÑÐµÐ³Ð¾ÑÐ¸Ð°Ð»ÑÐ½ÑÐµ Ð³ÑÐ°Ð¼Ð¼Ð°ÑÐ¸ÐºÐ¸
ÑÐ¸Ð½ÑÐ°ÐºÑÐ¸ÑÐµÑÐºÐ¸Ð¹ Ð°Ð½Ð°Ð»Ð¸Ð·
ÑÑÑÑÐºÐ¸Ð¹ ÑÐ·ÑÐº
categorical grammars
syntactic analysis
Russian language

description: ÐÑÐ¸ ÑÐµÑÐµÐ½Ð¸Ð¸ Ð¼Ð½Ð¾Ð³Ð¸Ñ Ð·Ð°Ð´Ð°Ñ Ð¾Ð±ÑÐ°Ð±Ð¾ÑÐºÐ¸ ÐµÑÑÐµÑÑÐ²ÐµÐ½Ð½ÑÑ ÑÐ·ÑÐºÐ¾Ð² ÑÐ°ÑÑÐ¾ Ð½ÑÐ¶Ð½Ð¾ Ð¿ÑÐ¾Ð¸Ð·Ð²Ð¾Ð´Ð¸ÑÑ ÑÐ¸Ð½ÑÐ°ÐºÑÐ¸ÑÐµÑÐºÐ¸Ð¹ Ð°Ð½Ð°Ð»Ð¸Ð· ÑÐµÐºÑÑÐ° Ð½Ð° Ð¾ÑÐ½Ð¾Ð²Ðµ Ð³ÑÐ°Ð¼Ð¼Ð°ÑÐ¸ÐºÐ¸ ÑÐ·ÑÐºÐ°. Ð¡ÑÐµÐ´Ð¸ ÑÐ¿Ð¾ÑÐ¾Ð±Ð¾Ð² Ð¾Ð¿Ð¸ÑÐ°Ð½Ð¸Ñ Ð³ÑÐ°Ð¼Ð¼Ð°ÑÐ¸Ðº Ð±Ð¾Ð»ÑÑÐ¾Ð¹ Ð¸Ð½ÑÐµÑÐµÑ Ð¿ÑÐµÐ´ÑÑÐ°Ð²Ð»ÑÑÑ ÐºÐ¾Ð¼Ð±Ð¸Ð½Ð°ÑÐ¾ÑÐ½ÑÐµ ÐºÐ°ÑÐµÐ³Ð¾ÑÐ¸Ð°Ð»ÑÐ½ÑÐµ Ð³ÑÐ°Ð¼Ð¼Ð°ÑÐ¸ÐºÐ¸ (CCG) â Ð»Ð¸Ð½Ð³Ð²Ð¸ÑÑÐ¸ÑÐµÑÐºÐ¸ Ð¾Ð±Ð¾ÑÐ½Ð¾Ð²Ð°Ð½Ð½ÑÐ¹ ÑÐ¾ÑÐ¼Ð°Ð»Ð¸Ð·Ð¼, ÐºÐ¾ÑÐ¾ÑÑÐ¹ Ð¿Ð¾Ð·Ð²Ð¾Ð»ÑÐµÑ Ð¾Ð¿Ð¸ÑÑÐ²Ð°ÑÑ ÑÐ¸ÑÐ¾ÐºÐ¸Ð¹ ÐºÐ»Ð°ÑÑ ÑÐ·ÑÐºÐ¾Ð²ÑÑ ÑÐ²Ð»ÐµÐ½Ð¸Ð¹ Ð¸ Ð² ÑÐ¾ Ð¶Ðµ Ð²ÑÐµÐ¼Ñ Ð´Ð¾Ð¿ÑÑÐºÐ°ÐµÑ ÑÑÑÐµÐºÑÐ¸Ð²Ð½ÑÐ¹ ÑÐ¸Ð½ÑÐ°ÐºÑÐ¸ÑÐµÑÐºÐ¸Ð¹ Ð°Ð½Ð°Ð»Ð¸Ð·, Ð° ÑÐ°ÐºÐ¶Ðµ Ð¿ÑÐµÐ´Ð¾ÑÑÐ°Ð²Ð»ÑÐµÑ Ð´Ð¾ÑÑÐ°ÑÐ¾ÑÐ½Ð¾ Ð¿ÑÐ¾ÑÑÐ¾Ð¹ ÑÐ¿Ð¾ÑÐ¾Ð± ÑÐ¸ÑÑÐµÐ¼Ð°ÑÐ¸ÑÐµÑÐºÐ¸ ÑÑÑÐ¾Ð¸ÑÑ ÑÐµÐ¼Ð°Ð½ÑÐ¸ÑÐµÑÐºÐ¸Ðµ Ð¿ÑÐµÐ´ÑÑÐ°Ð²Ð»ÐµÐ½Ð¸Ñ Ð¿ÑÐµÐ´Ð»Ð¾Ð¶ÐµÐ½Ð¸Ð¹ Ð½Ð° Ð¾ÑÐ½Ð¾Ð²Ðµ Ð¸Ñ Ð´ÐµÑÐµÐ²ÑÐµÐ² Ð²ÑÐ²Ð¾Ð´Ð°. ÐÐ»Ñ Ð¿Ð¾ÑÑÑÐ¾ÐµÐ½Ð¸Ñ Ð³ÑÐ°Ð¼Ð¼Ð°ÑÐ¸Ðº, Ð¾ÑÐ²Ð°ÑÑÐ²Ð°ÑÑÐ¸Ñ ÑÐ¸ÑÐ¾ÐºÐ¸Ð¹ ÐºÐ»Ð°ÑÑ ÑÐµÐ°Ð»ÑÐ½ÑÑ ÑÐµÐºÑÑÐ¾Ð², ÑÐ°ÑÐµ Ð²ÑÐµÐ³Ð¾ Ð¸ÑÐ¿Ð¾Ð»ÑÐ·ÑÐµÑÑÑ ÑÑÐ°ÑÐ¸ÑÑÐ¸ÑÐµÑÐºÐ¸Ð¹ Ð²ÑÐ²Ð¾Ð´. ÐÐ²ÑÐ¾Ð¼Ð°ÑÐ¸ÑÐµÑÐºÐ¾Ð¼Ñ Ð²ÑÐ²Ð¾Ð´Ñ Ð³ÑÐ°Ð¼Ð¼Ð°ÑÐ¸Ðº Ð½Ð° Ð¾ÑÐ½Ð¾Ð²Ðµ CCG Ð¿Ð¾ÑÐ²ÑÑÐµÐ½Ð¾ Ð±Ð¾Ð»ÑÑÐ¾Ðµ ÐºÐ¾Ð»Ð¸ÑÐµÑÑÐ²Ð¾ ÑÐ°Ð±Ð¾Ñ, Ð¾Ð´Ð½Ð°ÐºÐ¾ Ð² Ð½Ð¸Ñ Ð² Ð¾ÑÐ½Ð¾Ð²Ð½Ð¾Ð¼ ÑÐ°ÑÑÐ¼Ð°ÑÑÐ¸Ð²Ð°ÑÑÑÑ ÑÐ¾Ð»ÑÐºÐ¾ Ð³ÑÐ°Ð¼Ð¼Ð°ÑÐ¸ÐºÐ¸ Ð°Ð½Ð³Ð»Ð¸Ð¹ÑÐºÐ¾Ð³Ð¾ ÑÐ·ÑÐºÐ°. ÐÐ»Ñ Ð¼Ð¾ÑÑÐ¾Ð»Ð¾Ð³Ð¸ÑÐµÑÐºÐ¸ Ð±Ð¾Ð³Ð°ÑÑÑ ÑÐ·ÑÐºÐ¾Ð², Ð² ÑÐ¾Ð¼ ÑÐ¸ÑÐ»Ðµ Ð´Ð»Ñ ÑÑÑÑÐºÐ¾Ð³Ð¾ ÑÐ·ÑÐºÐ°, Ð°Ð²ÑÐ¾Ð¼Ð°ÑÐ¸ÑÐµÑÐºÐ¸Ð¹ Ð²ÑÐ²Ð¾Ð´ Ð³ÑÐ°Ð¼Ð¼Ð°ÑÐ¸Ðº CCG Ð¸ Ð¿ÑÐ¸Ð¼ÐµÐ½ÐµÐ½Ð¸Ðµ Ð¿Ð¾ÑÑÑÐ¾ÐµÐ½Ð½ÑÑ Ð³ÑÐ°Ð¼Ð¼Ð°ÑÐ¸Ðº Ð´Ð»Ñ ÑÐµÑÐµÐ½Ð¸Ñ Ð¿ÑÐ¸ÐºÐ»Ð°Ð´Ð½ÑÑ Ð·Ð°Ð´Ð°Ñ Ð¾Ð±ÑÐ°Ð±Ð¾ÑÐºÐ¸ ÑÐµÑÑÐ° Ð¾ÑÑÐ°ÐµÑÑÑ Ð½ÐµÐ´Ð¾ÑÑÐ°ÑÐ¾ÑÐ½Ð¾ Ð¸ÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð½ÑÐ¼. ÐÐ°Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð¿Ð¾ÑÐ²ÑÑÐµÐ½Ð° ÑÐ°Ð·ÑÐ°Ð±Ð¾ÑÐºÐµ Ð¸ ÑÐµÐ°Ð»Ð¸Ð·Ð°ÑÐ¸Ð¸ Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼Ð° Ð°Ð²ÑÐ¾Ð¼Ð°ÑÐ¸ÑÐµÑÐºÐ¾Ð³Ð¾ Ð²ÑÐ²Ð¾Ð´Ð° Ð³ÑÐ°Ð¼Ð¼Ð°ÑÐ¸ÐºÐ¸ CCG Ð´Ð»Ñ ÑÑÑÑÐºÐ¾Ð³Ð¾ ÑÐ·ÑÐºÐ° Ð½Ð° Ð¾ÑÐ½Ð¾Ð²Ðµ Ð½ÐµÑÐ°Ð·Ð¼ÐµÑÐµÐ½Ð½Ð¾Ð³Ð¾ ÐºÐ¾ÑÐ¿ÑÑÐ° ÑÐµÐºÑÑÐ¾Ð². Ð Ð¾ÑÐ½Ð¾Ð²Ðµ ÑÐ°Ð±Ð¾ÑÑ Ð»ÐµÐ¶Ð°Ñ Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼Ñ, ÑÐ°Ð·ÑÐ°Ð±Ð¾ÑÐ°Ð½Ð½ÑÐµ Ð. ÐÐ¸ÑÐºÐ¾Ð¼ Ð¸ ÐÐ¶. Ð¥Ð¾ÐºÐµÐ½Ð¼Ð°Ð¹ÐµÑ Ð´Ð»Ñ Ð°Ð½Ð³Ð»Ð¸Ð¹ÑÐºÐ¾Ð³Ð¾ ÑÐ·ÑÐºÐ°, ÐºÐ¾ÑÐ¾ÑÑÐµ Ð±ÑÐ»Ð¸ Ð°Ð´Ð°Ð¿ÑÐ¸ÑÐ¾Ð²Ð°Ð½Ñ Ð´Ð»Ñ ÑÑÑÑÐºÐ¾Ð³Ð¾ ÑÐ·ÑÐºÐ°, Ð² Ð¿ÐµÑÐ²ÑÑ Ð¾ÑÐµÑÐµÐ´Ñ Ñ ÑÑÐµÑÐ¾Ð¼ ÐµÐ³Ð¾ Ð¼Ð¾ÑÑÐ¾Ð»Ð¾Ð³Ð¸Ð¸. ÐÐµÐ¿Ð¾ÑÑÐµÐ´ÑÑÐ²ÐµÐ½Ð½Ð¾Ðµ Ð¸ÑÐ¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°Ð½Ð¸Ðµ Ð´Ð¾ÑÑÑÐ¿Ð½Ð¾Ð¹ ÑÐµÐ°Ð»Ð¸Ð·Ð°ÑÐ¸Ð¸ ÑÑÐ¾Ð³Ð¾ Ð¿Ð¾Ð´ÑÐ¾Ð´Ð° Ð´Ð»Ñ ÑÑÑÑÐºÐ¾Ð³Ð¾ ÑÐ·ÑÐºÐ° Ð½ÐµÐ²Ð¾Ð·Ð¼Ð¾Ð¶Ð½Ð¾: Ð² ÑÑÑÑÐºÐ¾Ð¼ ÑÐ·ÑÐºÐµ ÐºÐ°Ð¶Ð´Ð¾Ð¼Ñ ÑÐ»Ð¾Ð²Ñ ÑÐ¾Ð¾ÑÐ²ÐµÑÑÑÐ²ÑÐµÑ Ð³Ð¾ÑÐ°Ð·Ð´Ð¾ Ð±Ð¾Ð»ÑÑÐµÐµ ÐºÐ¾Ð»Ð¸ÑÐµÑÑÐ²Ð¾ ÑÐ¾ÑÐ¼, ÑÐ¾Ð³Ð»Ð°ÑÐ¾Ð²Ð°Ð½Ð¸Ðµ ÐºÐ¾ÑÐ¾ÑÑÑ Ð½ÐµÐ¾Ð±ÑÐ¾Ð´Ð¸Ð¼Ð¾ ÑÑÐ¸ÑÑÐ²Ð°ÑÑ Ð¿ÑÐ¸ ÑÐ¾ÑÐ¼Ð¸ÑÐ¾Ð²Ð°Ð½Ð¸Ð¸ Ð´ÐµÑÐµÐ²Ð° Ð²ÑÐ²Ð¾Ð´Ð°, Ð¿ÑÐ¸ ÑÑÐ¾Ð¼ Ð¿Ð¾ÑÑÐ´Ð¾Ðº ÑÐ»Ð¾Ð² ÑÐ²Ð»ÑÐµÑÑÑ ÑÐ²Ð¾Ð±Ð¾Ð´Ð½ÑÐ¼. ÐÐ»Ñ Ð°Ð´Ð°Ð¿ÑÐ°ÑÐ¸Ð¸ Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼Ð° Ðº Ð¾ÑÐ¾Ð±ÐµÐ½Ð½Ð¾ÑÑÑÐ¼ ÑÑÑÑÐºÐ¾Ð³Ð¾ ÑÐ·ÑÐºÐ° Ð² Ð´Ð°Ð½Ð½Ð¾Ð¹ ÑÐ°Ð±Ð¾ÑÐµ ÑÑÐ¾ÑÐ¼ÑÐ»Ð¸ÑÐ¾Ð²Ð°Ð½Ñ Ð¿ÑÐ°Ð²Ð¸Ð»Ð° Ð²ÑÐ²Ð¾Ð´Ð° Ð½Ð¾Ð²ÑÑ ÐºÐ°ÑÐµÐ³Ð¾ÑÐ¸Ð¹ Ð¸ Ð¿ÑÐµÐ´ÑÑÐ¼Ð¾ÑÑÐµÐ½Ñ ÑÐ¿Ð¾ÑÐ¾Ð±Ñ ÑÑÐ°Ð½ÐµÐ½Ð¸Ñ ÑÐ°Ð·Ð»Ð¸ÑÐ½ÑÑ ÑÐ¾ÑÐ¼ ÑÐ»Ð¾Ð² Ð¸ Ð¸Ñ ÑÐ²ÑÐ·ÐµÐ¹. ÐÑÑÐ¾Ð´Ð½ÑÐ¼Ð¸ Ð´Ð°Ð½Ð½ÑÐ¼Ð¸ Ð´Ð»Ñ Ð¿Ð¾ÑÑÑÐ¾ÐµÐ½Ð¸Ñ Ð¼Ð¾Ð´ÐµÐ»Ð¸ ÑÐ²Ð»ÑÐµÑÑÑ Ð½ÐµÑÐ°Ð·Ð¼ÐµÑÐµÐ½Ð½ÑÐ¹ ÐºÐ¾ÑÐ¿ÑÑ ÑÐµÐºÑÑÐ°, Ð´Ð»Ñ ÐºÐ°Ð¶Ð´Ð¾Ð³Ð¾ Ð¿ÑÐµÐ´Ð»Ð¾Ð¶ÐµÐ½Ð¸Ñ Ð² ÐºÐ¾ÑÐ¾ÑÐ¾Ð¼ ÑÐ½Ð°ÑÐ°Ð»Ð° Ð¿ÑÐ¾Ð¸Ð·Ð²Ð¾Ð´Ð¸ÑÑÑ Ð¼Ð¾ÑÑÐ¾Ð»Ð¾Ð³Ð¸ÑÐµÑÐºÐ¸Ð¹ Ð°Ð½Ð°Ð»Ð¸Ð·. ÐÐ°Ð¶Ð´Ð¾Ð¼Ñ ÑÐ»Ð¾Ð²Ñ Ð¿ÑÐ¸Ð¿Ð¸ÑÑÐ²Ð°ÐµÑÑÑ Ð½Ð°Ð±Ð¾Ñ ÑÑÐ°Ð½Ð´Ð°ÑÑÐ½ÑÑ ÐºÐ°ÑÐµÐ³Ð¾ÑÐ¸Ð¹. ÐÐ°Ð»ÐµÐµ Ð¿ÑÐ¾Ð¸Ð·Ð²Ð¾Ð´Ð¸ÑÑÑ ÑÐ¸Ð½ÑÐ°ÐºÑÐ¸ÑÐµÑÐºÐ¸Ð¹ ÑÐ°Ð·Ð±Ð¾Ñ Ð¿ÑÐµÐ´Ð»Ð¾Ð¶ÐµÐ½Ð¸Ñ Ñ ÑÑÐµÑÐ¾Ð¼ ÑÐ¾Ð³Ð»Ð°ÑÐ¾Ð²Ð°Ð½Ð¸Ñ Ð¼Ð¾ÑÑÐ¾Ð»Ð¾Ð³Ð¸ÑÐµÑÐºÐ¸Ñ Ð¿ÑÐ¸Ð·Ð½Ð°ÐºÐ¾Ð² ÑÐ»Ð¾Ð². Ð ÑÐ»Ð¾Ð²Ð°ÑÑ Ð·Ð°Ð½Ð¾ÑÑÑÑÑ ÑÐµ ÐºÐ°ÑÐµÐ³Ð¾ÑÐ¸Ð¸, Ñ ÐºÐ¾ÑÐ¾ÑÑÐ¼Ð¸ Ð¿ÑÐµÐ´Ð»Ð¾Ð¶ÐµÐ½Ð¸Ñ ÑÐ´Ð°Ð»Ð¾ÑÑ ÑÐ°Ð·Ð¾Ð±ÑÐ°ÑÑ, Ñ Ð´Ð¾Ð±Ð°Ð²Ð»ÐµÐ½Ð¸ÐµÐ¼ ÑÐ¾Ð¾ÑÐ²ÐµÑÑÑÐ²ÑÑÑÐ¸Ñ Ð¾Ð³ÑÐ°Ð½Ð¸ÑÐµÐ½Ð¸Ð¹ Ð½Ð° Ð¼Ð¾ÑÑÐ¾Ð»Ð¾Ð³Ð¸ÑÐµÑÐºÐ¸Ðµ Ð¿ÑÐ¸Ð·Ð½Ð°ÐºÐ¸. ÐÐ¾ÑÐ»Ðµ ÑÑÐ¾Ð³Ð¾ ÑÑÑÐ¾Ð¸ÑÑÑ Ð²ÐµÑÐ¾ÑÑÐ½Ð¾ÑÑÐ½Ð°Ñ Ð¼Ð¾Ð´ÐµÐ»Ñ. ÐÐ»Ñ ÑÐµÐ°Ð»Ð¸Ð·Ð°ÑÐ¸Ð¸ Ð´Ð°Ð½Ð½Ð¾Ð³Ð¾ Ð¿ÑÐ¾Ð³ÑÐ°Ð¼Ð¼Ð½Ð¾Ð³Ð¾ ÐºÐ¾Ð¼Ð¿Ð»ÐµÐºÑÐ° Ð²ÑÐ±ÑÐ°Ð½ ÑÐ·ÑÐº Python, Ð´Ð»Ñ Ð¿ÑÐµÐ´Ð²Ð°ÑÐ¸ÑÐµÐ»ÑÐ½Ð¾Ð¹ Ð¾Ð±ÑÐ°Ð±Ð¾ÑÐºÐ¸ Ð¸ ÑÐ°ÑÑÐµÑÐµÑÐ½Ð¾Ð¹ ÑÐ°Ð·Ð¼ÐµÑÐºÐ¸ ÑÐµÐºÑÑÐ¾Ð² Ð½Ð° ÑÑÑÑÐºÐ¾Ð¼ ÑÐ·ÑÐºÐµ Ð¸ÑÐ¿Ð¾Ð»ÑÐ·ÑÐµÑÑÑ Ð±Ð¸Ð±Ð»Ð¸Ð¾ÑÐµÐºÐ° pymorphy2, Ð´Ð»Ñ ÑÐ¸Ð½ÑÐ°ÐºÑÐ¸ÑÐµÑÐºÐ¾Ð³Ð¾ Ð°Ð½Ð°Ð»Ð¸Ð·Ð° Ð½Ð° ÑÑÐ°Ð¿Ðµ ÑÐ¾ÑÐ¼Ð¸ÑÐ¾Ð²Ð°Ð½Ð¸Ñ ÑÐ»Ð¾Ð²Ð°ÑÑ Ð¸ÑÐ¿Ð¾Ð»ÑÐ·ÑÐµÑÑÑ Ð¿Ð°ÑÑÐµÑ, Ð²ÑÐ¾Ð´ÑÑÐ¸Ð¹ Ð² Ð±Ð¸Ð±Ð»Ð¸Ð¾ÑÐµÐºÑ NLTK. Ð ÐºÐ°ÑÐµÑÑÐ²Ðµ Ð±Ð°Ð·Ñ Ð´Ð°Ð½Ð½ÑÑ Ð² Ð¿ÑÐ¾ÐµÐºÑÐµ Ð¸ÑÐ¿Ð¾Ð»ÑÐ·ÑÐµÑÑÑ ÑÐµÐ»ÑÑÐ¸Ð¾Ð½Ð½Ð°Ñ Ð¡Ð£ÐÐ sqlite.
description: In many natural language processing tasks, it is often necessary to parse the text based on the language grammar. Among the methods for describing grammars, combinatorial categorical grammars (CCG) are of great interest. This linguistically grounded formalism allows the description of a broad class of linguistic phenomena and, at the same time, allows for efficient syntactic analysis and also provides a systematic way to construct semantic representations. Most wide-coverage grammars are probabilistic and rely on syntactically annotated corpora, which are expensive to create. An alternative approach is to apply unsupervised or semisupervised algorithms to infer grammars from unlabeled texts. There are several papers on the automatic inference of CCG, but they usually consider only grammars for English. For morphologically rich languages, including Russian, the automatic derivation of CCG grammars and the use of the constructed grammars for solving applied problems of test processing remain insufficiently studied. This work aims to develop and implement an algorithm for the automatic derivation of the CCG grammar for the Russian language based on an unmarked corpus of texts. It is based on algorithms developed by Y. Bisk and J. Hockenmaier for the English language. These algorithms were adapted for the Russian language, primarily taking into account its morphology. The adaptation of the algorithm was necessary: in Russian, each word corresponds to a much larger number of forms, the coordination of which must be taken into account when forming the inference tree, while the word order is free. In this work, we developed a set of rules for the derivation of new categories and implemented methods for storing various forms of words and connections between them. The input data for building a model is an unlabeled corpus of texts. For each sentence in the corpus, morphological analysis is performed first. Each word is assigned a set of standard categories. Next, the syntactic analysis of the sentence is performed, taking into account the agreement of the morphological features of the words. The dictionary contains those categories with which the sentences can be parsed with given restrictions on morphological features. Finally, a probabilistic model is built. The software is implemented using the Python programming language. We used the pymorphy2 library for text preprocessing and part-of-speech marking of texts in Russian. The stage of ditionary formation uses the CCG parser included in the NLTK library. The relational database SQLite is used as a database in the project.